Technology – | Beyond Exclamation https://beyondexclamation.com Sat, 26 Jun 2021 11:19:29 +0000 en-US hourly 1 https://wordpress.org/?v=5.7.9 https://beyondexclamation.com/wp-content/uploads/2018/03/Fevicon.png Technology – | Beyond Exclamation https://beyondexclamation.com 32 32 How Managed Data Security Can Benefit Your Business https://beyondexclamation.com/how-managed-data-security-can-benefit-your-business/ Sat, 26 Jun 2021 11:17:36 +0000 https://beyondexclamation.com/?p=17661 Your business collects, stores and uses critical data on a daily basis. Not only do businesses hold a vast amount of data but they have hundreds, sometimes thousands, of databases and sub-databases. A business will have a database for their address book, another for leads, another for locations, and they are all interlinked to form …

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Your business collects, stores and uses critical data on a daily basis. Not only do businesses hold a vast amount of data but they have hundreds, sometimes thousands, of databases and sub-databases. A business will have a database for their address book, another for leads, another for locations, and they are all interlinked to form a single GUI (Graphical User Interface) that the user will then see on their screen. But for online business you also have finance, banking, payment, credit card information, legal records, and these are the crown jewels of any business.

Which means that every organisation, regardless of size or sector, needs a strategy to protect and govern their critical databases to safeguard against both internal and external attacks and threats.

But many businesses are not prepared to tackle, spot, or respond to a data breach, despite knowing how sensitive and valuable their databases are. Infact, according to IBM’s report on the ‘Cost of a Data Breach’, the average cost of a breach is $3.86 million. And, as stated by IDG Research Services, ‘78% of IT leaders lack confidence in their companies cyber security posture’.

How Managed Data Security Can Improve Business Security

Managed Data Security protects critical databases, prevents leaks, and ensures compliance across heterogeneous environments, data warehouses and big data environments. It works by protecting structured and unstructured databases and enhances constant monitoring of structured and unstructured data tra­ffic.

It is used as a method to govern and control integration with IT management and additional security solutions. That way data protection is comprehensive and clear for all.

Eff­ective Compliance with validation activities, via a centralised audit repository, combined with an integrated workflow automation platform is necessary. Managed Data Security maintains this compliance element so that businesses can carry on with their activities, knowing that automation is speeding up their processes and improving time efficiency.

According to  Ali Al- Rubaya, Service Delivery Manager, SecurityHQ ‘Managed Data Security is an incredibly valuable tool to business, as it can be used to control and monitor auditable events from the chosen databases. This can be used, for instance, to monitor user behaviour in terms of the authentication against a database/databases, any inbound and outbound suspicious network traffic, and the detection of data exfiltration of large data transfers. By spotting potential malicious transfers quickly, businesses can respond to threats faster and, as a consequence, take actions to mitigate the threat and protect their data.’

The Benefits of Managed Data Security

There are multiple benefits of Managed Data Security, including the ability to:

  • Track sensitive data in your environment.
  • Provide complete visibility and detailed analysis into database transactions.
  • Examine and implement policies, including access controls to sensitive data, database change control, and privileged user actions.
  • Automate compliance auditing processes.
  • Assess database vulnerabilities.
  • Detect and track configuration flaws.
  • Track movements of end users.
  • Create a single, reliable, and integrated audit repository of heterogeneous systems and database.

What’s Next?

Once you understand the risks around databases, who is using them, when they are using them, identifying the risks around them, then the implementation of User Behaviour Analytics (UBA) can be used to categorise patterns of user behaviour, to understand what constitutes normal behaviour, and to detect abnormal activity.

By understanding those patterns, businesses gain greater visibility to create context driven use-cases, so that if an unusual action is made on a device on a given network, such as an employee login late at night, inconsistent remote access, or an unusually high number of downloads, the action and user is given a risk score based on their activity, patterns, and time.

To learn more about how UBA or Managed Data Security works, contact SecurityHQ, a managed security service provider that specialises in helping businesses to protect their databases from growing cyber threats. To speak with an expert click here.

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Hunt the Risk with Threat Intelligence https://beyondexclamation.com/hunt-the-risk-with-threat-intelligence/ Mon, 07 Jun 2021 13:18:52 +0000 https://beyondexclamation.com/?p=17145 Without threat intelligence via managed detection and response, it is impossible to know what information is available across all digital platforms. Especially regarding business information and data. In fact, most organisations are unaware of who or what is targeting them at any given time. This is why threat experts look for signs that risks, such …

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Without threat intelligence via managed detection and response, it is impossible to know what information is available across all digital platforms. Especially regarding business information and data. In fact, most organisations are unaware of who or what is targeting them at any given time.

This is why threat experts look for signs that risks, such as vulnerabilities, sensitive data, user credentials, or intellectual property has been exposed. So that businesses know what is vulnerable, know what information is available, and are aware of who and what is targeting them before an attack is made.

‘Threat hunting gives you the ability to hunt. For too long we have built our defences and we sit, and we wait to be attacked. When you threat hunt, you get to see what the attackers are doing, you get to see what they are looking at, and from that you can prepare yourself. Forewarned is forearmed’ – Feras Tappuni, CEO, SecurityHQ

What is Threat Hunting?

‘It is a process used to find unidentified threats in a given network to identify attacks, breached corporate material, credentials, intellectual property and brand infringement by harvesting data available on the visible, dark, and deep web. This is done by getting down deep into the logs, pulling data apart and analysing the anomalies. This may sound similar to penetration testing, but it is very different because penetration testing actually identifies vulnerabilities which could be used by an attacker to get inside the environment. For instance, a penetration tester will come along and say, ‘You have a vulnerability on that specific server, and on that server, and I was able to exploit it.’ Whereas Threat Hunting works in reverse so, instead, the analyst will say, ‘That vulnerability was exposed publicly for 7 days, have we been compromised, is there anything suspicious happening on that particular server that we don’t know about?’. – Eleanor Barlow, SecurityHQ

What is the Difference Between Threat Hunting and Threat Intelligence?

Threat Intelligence

‘Threat intelligence is a data set about attempted or successful intrusions, usually collected and analysed by automated security systems with machine learning and AI.’- IBM

Cyber threat intelligence can be collected from open-source intelligence, technical intelligence, deep and dark web, social media, human intelligence and more. Wherever there is an online presence, cyber threats can be detected and the information about these threats collected.

Threat Hunting

Threat hunting uses this threat intelligence to carry out a thorough, system-wide search for bad actors. In other words, threat hunting begins where threat intelligence ends. Even more, a successful threat hunt can identify threats that have not yet been spotted in the wild.

Also, threat hunting uses threat indicators as a lead or hypothesis for a hunt. ‘Threat indicators are virtual fingerprints left by malware or an attacker, a strange IP address, phishing emails or other unusual network traffic.’ – IBM

What Can you Hunt For?

  1. Indicator of Compromise (IOC’s)

These are basically quick wins like a file hash, or a file name or a known malicious IP address. It could be any type of behaviour that has been captured by intelligence, by blogs, by researchers, that is known to be malicious, and this is what’s called an IOC. So, analysts will look for those within the environment. IOC’s are normally identified through research of Threat Intelligence platforms.

‘Indicators of compromise are any recorded or captured pieces of digital evidence from a security incident that can be used to provide information about an intrusion or issue.’ – IBM

  1. Tactics, Techniques and Procedures (TTPs)

TTPs are the patters of activities or methods associated with a specific threat actor or group of threat actors.

‘The interesting thing about TTP’s is that most adversaries use the same TTP’s. However, some groups also have their own unique set of TTP’s. These can be compared to the tools used and the methods implemented to do the job. So, for example, a builder may go and lay a brick wall one way, and then another builder will go and build the same wall a different way. Or if we tried to break that wall down, one builder may use a sledgehammer the other may take it apart brick by brick. So those tactics, techniques and procedures are mapped against different groups to these actors and adversaries. And analysts can focus on an adversary that focused on, say, the middle east, and telecommunication companies. Analysts can then say ‘ok, ATP 34, they are known for these TTP’s, go out and look for those TTP’s without our environment, do we have anything suspicious etc’. – Aaron Hambleton, SecurityHQ

  1. General Anomalies within the Environment

There may be a situation whereby you identify no IOC’s, no attacker TTP’s, but you identify other anomalies within the environment which need to be investigated. Maybe accounts are logging on to various servers, at different times of the day, there is no pattern between those account logons. Maybe one account is just spraying across the environment – those anomalies will just naturally come to the surface when you look at the data and you understand the environment.

  1. Unknown Insider Threats

An insider might be able to circumvent security controls. Threat Hunting enables the detection of potential insider threat activity.

An insider will know how to get data out of the environment. So, just like you would if you worked in a company who said you can’t take a USB of data, or you’re not allowed to go on file sharing websites, naturally, as a human, you reverse engineer this to get data out of the network.

Looking for unknown insider threats is looking for any way of circumventing controls as an insider.

So, it could be someone sending emails outbound, which means some analysis needs to be performed on emails activity. Is there is a particular user sending more outbound emails than usual, that is not being flagged by Data Loss Prevention (DLP) because they are sending password protected zip files? Maybe DLP is not looking for password protected zip files. Is there a user who is hammering the print server, so they are printing loads of data, and is that a data leakage concern? People set up auto forwarding rules on their in-boxing, so as soon as an email hits their work mailbox it automatically sends it to their personal mailbox like Gmail, or Hotmail. These are just a few examples the SecurityHQ team have seen in the past. There are many more.

But, in order to action on these threats, companies need to know the basics. Including knowing the answers to what is Threat Hunting? Where does Threat Hunting fit? What is needed to start Threat Hunting? What triggers Threat Hunting? What are analysts hunting for? How is Threat Hunting skill mapping carried out? And what are the outputs of Threat Hunting?

Which is why SecurityHQ’s paper ‘The Fundamentals of Threat Hunting. Hunt Like a Pro’ answers these questions and is aimed at people who want to quickly understand the core of what Threat Hunting is, and how Threat Hunting can work for their business.

SecurityHQ prides itself on its global reputation as an advanced Managed Security Service Provider, delivering superior engineering-led solutions to clients around the world. By combining dedicated security experts, cutting-edge technology and processes, clients receive an enterprise grade experience that ensures that all IT virtual assets, cloud, and traditional infrastructures, are protected.

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What does Educational technology mean in 2020? https://beyondexclamation.com/what-does-educational-technology-mean-in-2020/ Wed, 16 Dec 2020 09:42:25 +0000 https://beyondexclamation.com/?p=11748 The Information Revolution of the 20th century turned around every aspect of human lives. This includes the way we studied at schools and universities. The use

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The Information Revolution of the 20th century turned around every aspect of human lives. This includes the way we studied at schools and universities. The use of computers changed the way how students were taught and how teachers transferred knowledge. This blend of educational theory, computer hardware and software in educating the future generations is called educational technology (EdTech).

Importance of educational technology

EdTech has proved its mettle so far, especially in the year 2020 where everything is locked down. Had it not been the advancement and inclusion of technology in the field of education, the suffering this year would have been unimaginable.

Scope of educational technology

EdTech involves technology and technological processes at every step of the (learning) way. This enhances and improves learning, which is the main aim of educational technology. For example, a student using an app to learn something will learn better using the app, than a student using traditional classroom training methods. Educational apps are designed to break down information into smaller sections, guided practice, include response to stimuli and give immediate feedback.

The educational technologies today provide visual learning, auditory learning with the use of digital multimedia. Visual learning enables better focus for students. Based on the cognitive principles this is one of the best ways to learn and retain something new. With this gamut of technological advancements knowledge is constructed by the learners themselves as they try and make sense of the various experiences. In such a learning experience teacher are more like facilitators providing guidance in learner driven experience. Meaning, the responsibility and ownership of learning lies with the students.

Types of educational technology

In the field of education, technological advancement includes a plethora of technical functionalities that help enhance the academic performance of individuals. This has been God sent to bridge the gap between learners and teachers with an effective amalgamation of passion and technological advancements.

The technology implemented in the scope of learning and educating includes both experiential and theoretical knowledge drawn from all spheres. There’s a merger of various disciplines such as communication, education, psychology, sociology, artificial intelligence, and computer science, among others to make education most effective for today’s learners. There are various domains that come under the radar of technology. This includes learning theory, computer-based training, online learning, and m-learning, opening its gates even to mobile technologies.

Objectives of educational technology

·         The main aim of technology in education is to better the quality of the current education system and improve the process of learning.

·         Bringing the teachers up to speed – as one using the latest technological advancements in the field of education, needs to themselves be abreast with the latest gadgets, equipments, apps etc.

·         The teachers are more like facilitators of education rather than traditional educators and passers of knowledge.

·         With advancements in the field of education, the main aim is to build curiosity among the students, self-confidence through experimental learning, make the learners more original and creative.

·         Learning is based on evidence. Everything has a proof that is collectively gathered and analyzed. The research is shared. This also teaches indirectly to respect others.

·         Saves costs and time. With the internet and smart devices several students can be taught at once. They don’t even need to be in the same room or even in the same country. The desire to learn and acquire knowledge is the only thing needed to excel academically.

Advantages of educational technology:

·         The biggest hope in times like the pandemic:

There’s no doubt that the pandemic has put a halt on almost every activity around the world. One of the biggest blows worldwide was to the educational sector. However, it seems that there is no stopping the learning. While the world was locked up in their homes, several free courses were launched world over by reputed universities. The online engagement of students has helped curb their absolute estrangement from the world of education.

·         Knowledge retention :

There’s a belief that every individual has a different pace of understanding and retention capacities. Rightly so, compared to the fast-paced classrooms jam-packed with people from all spheres of life, has mostly been a very challenging space for teenagers and graduates alike. Education technology has been advantageous in increasing insightful individual retake on education and crafting out methods that are best suited for education rather than feeling constantly pressurized to accept whatever is fed to the masses on a regular basis.

·         Benefits all around:

Ranging from preschool, primary, and secondary to higher education systems, technological education has been used with satisfactory results. Not just the education sector but they have also taken over corporate and professional sectors both private and government governed ones in terms of learning and upgrading one’s knowledge base.

Conclusion

Education, teaching and learning have not been the same since the Internet and the range of smart devices took over the world. Educational technology is just looking out for the best of its learners. It is here to stay and will continue to benefit everyone interested in the process of learning.

 

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Digital world: A step towards our success https://beyondexclamation.com/digital-world-a-step-towards-our-success/ Wed, 16 Dec 2020 09:37:33 +0000 https://beyondexclamation.com/?p=11743 The Digital world we are living in is quite technical but more interesting than how life used to be before technology took over. Nowadays, almost

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The Digital world we are living in is quite technical but more interesting than how life used to be before technology took over. Nowadays, almost everything belongs to the world of technology, such as telephone and phonograph. Do you ever think about how this world full of technology works? Here is the answer. All technical products of this world have the same system but different construction. The most common thing that everyone loves in this world is iPad, iPhone, tablets, and much more electric products.

Prediction about future world:

By 2050 there will be around nine billons peoples in the world to feed, transport, employ and educate. We are committed to a world-development economy that has been able to supply unlimited consumption for all over the centuries.

With the new technology, can we digitalize our existing world which helps in making everyone successful and prosperous while working together? Can we ever create a world where greatness, prosperity is common?  How can we build our world more successful and prosperous? Just imagine a future with greatness and prosperity for all of us.

One-day greatness will be in our grasp. But instead of waiting for that one day, can we reach it now? Of course, we can get it now by ourdevices. Nowadays, these devices made our world better than before.

So far, any device we have used has been very useful and fun. But now we could not say that we are living in a fully digital world because we are not even close to that world. There are limitations to everything whether it is any gadget, app, and any operating system. You have to wait whenever you download any app, you have to follow the principles of any operating system. Now we have room to dream for the digital world we want to live in instead of the world we are living in.

Big problems lead to big dreams

Our problems motivate us to succeed. It is said that necessity is the mother of invention. Although we have reached greatness, the obstacles that have come in our way have inspired us to reach here.

Billions of peoples are committed to a growth-driven world economy, and billions are at the bottom of the economy. As we are chasing growth, as we pursue unlimited growth, and our endless consumption threatens to crowd out everything else on Earth. But middle-class people decline the advanced society.

The middle class is declining in advanced societies. There is still a youth unemployment epidemic in many countries. The forecast is for billions of people to never be stuck in this situation for the rest of their lives.

Can we see our future with a new digital display?

The question arises some years ago that can we This new option started in 2007 with big questions: Can we imagine a world where technology helps people to grow, succeed, and prosper? In today’s time, our world is full of technology and we are surrounded by technology while sleeping and waking up while we eat. All of us can succeed together as much as we want. 

Turn On a You-Centered Digital World

All types of things are present in front of you they can be peoples, services, places, apps of your daily use, digital books, or software you use. Even they can be other devices on other locations and handled by you remotely. The technology is always available for everyone whether you are middle class or a high-class person, it doesn’t matter for technology. Today’s generation is completely lost in its own world. They combine almost everything into their digital world, they want to inhabit until they get the new one. Is not real that your shared spaces move with you all the time and became parts of your reality. we all have got used to our chosen digital realities. 

Conclusion:

Technology has been helpful in our life apart from taking us into the digital world, now people do not have to travel on foot like before, do not have to write letters to talk to each other. Now you have to book the ticket and make a call and video call to connect to the person you want to talk. Nowadays, everything is getting digital, whether it is your bank account, colleges, social media platforms, or work from home facility.

 

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How is Deep learning benefiting healthcare? https://beyondexclamation.com/how-is-deep-learning-benefiting-healthcare/ Wed, 16 Dec 2020 09:35:40 +0000 https://beyondexclamation.com/?p=11739   Deep learning is a subgroup of machine learning, which is again a part of the larger technological advancement called Artificial intelligence (AI). While artificial

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Deep learning is a subgroup of machine learning, which is again a part of the larger technological advancement called Artificial intelligence (AI). While artificial intelligence deals in making machines as
intelligent as humans, it looks into networks that learn from unstructured data independently.

Deep learning has been a boon to the field of healthcare as it is known to provide the healthcare industry with the ability to analyze data at exceptional speeds no matter the size without compromising
on accuracy, which mostly suffered due to human errors earlier. Even though not a long time has gone by, this method is already making its mark in medical imaging solutions. There are chatbots that have identified patterns in thsymptoms presented by the patients. Certain algorithms are now capable of
identifying types of cancers and certain rare diseases.

Benefits of Deep learning

A sleek, elegant, and smart blend of both machine learning and AI, learning uses a layered algorithmic architecture to sift through data at a remarkable rate. With the amount of labor that it provides with such efficiency, healthcare organizations of all sizes, types, and specialties over time have considered this marvel to be the pioneer of futuristic medical possibilities. They are all the while becoming increasingly interested in how artificial intelligence can support better patient care while dramatically cutting down costs and improving efficiencies.


Some of the  benefits of in healthcare that have made it an undeniable aspect in modern
times are stated below:

The power to analyze medical history: A blessing in its entirety,there is a lot of unstructured data almost every day in large numbers in the form of patient records, past treatments, and the medical history of the patient’s family. All of which has been always known to have faced some sort of human error while being drafted. This branch of machine learning discerns all such medical concerns as they help is an accurate analysis of the historical data of patients and even extend a helping hand as far as predicting accurate conditions about their health by extracting insights from past data like diseases, family background, and hereditary diseases and so on.

Administrative task management: Learning in depth has taken up amyriad of tasks in order to facilitate more concentration and funding on providing the best possible healthcare to the people across the globe. It enables healthcare professionals to automate a lot of administrative tasks so the complete focus is centered on serving better rather than diversified stands to exempt any sort of human error. From rescheduling appointments to filing the appointment records to sending suggestions to patients and forwarding emergency calls, the list of tasks that can be performed are endless.

Identifying insurance fraud: Insurance companies are now using deep learning for figuring out medical insurance fraud claims. This has been
achieved by automating fraud detection and using predictive intelligence inpre-identifying a future fraud. US healthcare program Medicare, which is fundedby the Federal government, is responsible for providing health insurance to those who are 65 years and above. This insurance is also available for
individuals with permanent disabilities. There is a lot of loss of billions of tax payers’ dollars due to misuse, fraud, wastage and abuse. Medicare reports a loss between $21 billion to $71 billion dollars per year to fraud, wastage, misuse and abuse. Manually auditing every insurance claim is impossible. Here
is where deep learning steps in to identify and control medical insurance fraud.

Detection and classification of Alzheimer’s: recently, deep learning has gained a lot of attention in early detection and classification of Alzheimer’s disease. This has been possible due to the large scale analysis of neuroimaging data. As we know, Alzheimer’s is the most common type of dementia and is the 6th leading cause of death in the US. Dealing with thisdisease cost $277 billion in 2018 in the US alone.  Since it is an irreversible disease, early detection will allow earlier medication to prevent the progression in a patient

Genomics: This subset of machine learning has a bright future in understanding genomes. Genomics is the study of understanding elements of genetics. In a human being the genome is made up of over 3 billion pairs. Reading the entire information enwrapped in a DNA is complex and impossible to
do using traditional methods. Deep learning’s expertise in large amounts of data crunching will be crucial in future breakthrough in genomics.

Conclusion

Deep learning has a promising future in healthcare especially in detecting early stages of cancer, its diagnosis and treatment. It also looks promising when it comes to epidemiology, public health, clinical genetics, crop improvement,functional genomics and phylogenetic analyses

 

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Understanding Cyber attack and ways to prevent them https://beyondexclamation.com/understanding-cyber-attacks-and-ways-to-prevent-them/ Wed, 16 Dec 2020 09:08:19 +0000 https://beyondexclamation.com/?p=11735 A digital attack by an individual or an organization to another individual or organization in order to cause harm and destroy important data and software

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A digital attack by an individual or an organization to another individual or organization in order to cause harm and destroy important data and software is called a cyber attack. A cyber attack makes use of computer and computer networks along with the help of the Internet in digitally hurting the victim.

Various types of attacks are often occur against large organizations. Even governments are at a risk of cyber attacks. A digital form of destruction may take place over smaller areas or it can also sometimes pan over continents at large.

Due to open access of the internet anyone can carry out a cyber attack even while having just bare minimum skills. The assailant exploits weaknesses in the framework, introducing a noxious code to adjust PC code, rationale or information prompting cybercrimes. For example, data theft and wholesale fraud, stealing someone’s digital identity and doing wrong acts in their name are forms of cyber
attacks.

Companies and their customers have come to rely upon various sites and online applications to
make burn-through and work together. The protection and security dangers to which they are uncovered are exponentially developing every day. Digital assaults have become progressively complex and perilous. At this point held for prominent targets and they can influence any association that depends on organized applications, gadgets and frameworks. Government associations and monetary firms remain as a focal point for numerous digital assaults, especially for those who do these acts for the sake of hacktivism – which is a form of civil disobedience done to promote a social cause or to expose a corrupt politician. Hacktivism is also done to bring about changes in the social norms. Anonymous is one such hacker group well known to all who know about hacktivism.

Aggressors exploit weaknesses, regardless of shortcomings in programming, processing gadgets or the people that overlook and use them. As sites develop more mind boggling apps and applications are grown all the more quickly, the potential for assault increments. In the interim, programmers and digitally hired soldiers are constructing, conveying, and using advanced endeavor instruments and malware to take or devastate basic corporate information, bargain Sites, and disturb operational frameworks.

Regardless of whether the rationale is undercover work or damage, digital crooks utilize a scope of assault techniques, for example, skewer phishing, SQL infusion assault, cross-site scripting (XSS), and savage power assaults, utilizing them adaptively and in mix to complete expound digital assaults.

One of the most problematic strategies utilized in digital assaults is the circulated refusal of administration (DDoS) assault in which bot-nets are utilized to clog a site or web application to the point that real clients can presently don’t get to it—costing undertakings a great many dollars in income, lost efficiency and harmed notorieties.

The distributed denial of service (DDoS) attack, in which botnets are used to overload a website or web application to the extent where legitimate customers will no longer access it, costing businesses millions of dollars in sales, reduced productivity and ruined reputations, is one of the most destructive strategies
used in cyber attacks.

What are the types of cyber attacks?

Circulated Refusal of-administration (DDoS) assault is a noxious endeavor to back off or crash a site by flooding it with overpowering measures of traffic. Cybercriminals accomplish this by utilizing enormous multitudes of computerized “bots” and make huge scope for assaults.

Malware is a malignant code intended to harm a PC or organization. There is a wide scope of
various malware classes, including yet not restricted to worms, Trojans, spyware, and key lumberjacks.

Phishing is the demonstration of endeavoring to deceive the beneficiary of a noxious email into
opening and draw-in with it. The “sender” of the email bamboozles the casualty by causing the email to have all the earmarks of being sent from a respectable source, for example, an administration division, a provider, or a client of the business. These assaults exploit weaknesses in the information
based layer of an application. Programmers infuse vindictive SQL inquiries intoa site section field, fooling the application into executing unintended orders, and infiltrate the back-end information base.

Man-in-the-middleattack occur typically on unsecured public Wi-Fi, involves these assaults within the programmers that obstruct the activity between a guest gadget and an entity, embedding themselves in a two-party exchange to take informationwithout the knowledge of the visitor.

Intruding attack by decreasing HTTPS to encrypt page headers, these attacks weaken SSL’s privacy
target, making other information vulnerable to discovery. These attacks can be used by hackers to steal login passwords, email addresses, and othe confidential, personally identifiable information from SSL-enabled websites by using a mixture of brute force attacks and divide-and – conquer techniques.

Counter arrangements Associations, specific those that have endured the impacts of digital attacks, have reinforced border based security controls like firewalls and interruption recognition frameworks. Tragically, conventional server farm security techniques, for example, these are insufficient to shield organizations from enormous scope, dispersed digital dangers and stealthy assaults at the
application layer.

How to protect oneself from cyber attacks?

·         Always use a secured website for making any kind of online purchases. Check for the SSL certificate or the “green lock” symbol which shows the site is secure.

·         Avoid downloading from malicious looking websites.

·         Avoid installing unauthorized software from the internet.

·       Protect yourself against phishing by not opening orbresponding to mails that are not known to you.

·         Use strong passwords

·         Do not login to open WiFi networks

·         Be Internet-intelligent and avoid identity theft

·         Don’t share credit card details or personal information openly online

·         Never share your SSN number

·         Keep yourself and the software of your systems updated

Conclusion

Multi-layered safeguard models that don’t just recognize and divert advanced assaults as near the source as could be expected under the circumstances yet additionally scale to retain monstrous scope dangers is the need of the hour today as protection against cyber attacks.

 

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A step-by-step guide to content analysis https://beyondexclamation.com/a-step-by-step-guide-to-content-analysis/ Wed, 16 Dec 2020 09:04:12 +0000 https://beyondexclamation.com/?p=11731 Before dwelling into the details of content analysis, let us understand what it means. This is a research technique that helps identify patterns in recorded

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Before dwelling into the details of content analysis, let us understand what it means. This is a research technique that helps identify patterns in recorded communication. It analyses the features of data be it a word, picture, theme, or text. This data can be collected from various sources such as books, newspapers, seminars, or photographs.

Content analysis is both qualitative and quantitative. In both these methods, a researcher can categorize words or concepts within the text and further analyze the results.

What is the use of this research technique?

Researches use this methodology to identify the purpose and effects that this content has on people. It also helps researchers draw conclusions about the producers and audience of the texts under scrutiny.

This research methodology can also be used to measure the number of times certain words or phrases appear within a text.

To understand quantitative content analysis here is an example: To identify the importance of gender issues in the workplace, a researcher can analyze induction speeches given by managers to find the frequency of terms such as gender-biased, gender-neutral, and much more. The semantic relationship of words can also be analyzed using this technique.

To understand the qualitative analysis here is an example: If a researcher wants to understand the qualitative aspect of gender issues in the workplace, the researcher could locate the word gender in meetings or interviews and identify other words that are used along with gender. For instance, the word ‘inequality’ being used next to the word ‘gender’.

Content analysis has its applications in a broad range of fields that include marketing, anthropology, cognitive science, and many other scientific disciplines. This methodology has numerous goals, a few of them being:

·         Reducing huge amounts of unstructured content

·         Elaborating the features of content such as words, text, pictures, or films

·         Identifying key aspects of the communicated content

·         Analyzing bias in communication and revealing their differences

·         Identifying the effects that the communicated content has on its audience

Some of the advantages of content analysis are:

·         With this analysis method, researchers are closer to their data sources. They can easily collect data without any form of direct involvement.

·         This methodology is easily understood and provides an insight into the complex models of human thinking.

·         Enables important historical as well as cultural insights to researchers

·         When combined with other research tools such as interviews or observations, analyzing content becomes trouble-free.

·         This research methodology is transparent and reliable. It is easy for other researchers to replicate the procedure.

Some of the disadvantages of this research methodology are:

·         It focuses solely on certain words and can restrict a researcher from understanding the full concept of the text. This becomes reductive at times.

·         As a researcher is conducting the analysis, this methodology is highly subjective. The researchers’ point of view and interpretation is bound to influence the audience.

·         It takes a lot of time to compile large amounts of data and analyze them effectively.

·         It becomes tedious to automate at times.

A step-by-step method to conduct a successful content analysis:

·         Identification of the research question and collection of appropriate data: Researchers need to have a fixed research question on their mind and then look-into various sources from where they can collect this data.

·         Establish coding categories: Further, researchers carry out systemized observation based on certain rules. These rules give the framework for coding the content.

·         Define a set of rules for coding the chosen content: Researchers need to observe content and give each category a unique code. This makes it easier to analyze the frequency of occurrence of words, or text.

·         Monitor the validity and reliability of code: The next step is to ensure that the code that is designed is valid throughout. Researchers need to ensure that the code set is reliable. 

·         Analysis and presentation of findings: Researchers review the final findings and arrange information to present it to the audience.

Conclusion

With the help of content analysis, research has become uncomplicated. With a single code, researchers can now analyze a vast ocean of content.  Be it a film or an interview, content analysis has made the life of a researcher pain-free.

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Construction Technology: the most Innovative Sector without any Automation in the Modern World https://beyondexclamation.com/construction-technology-the-most-innovative-sector-without-any-automation-in-the-modern-world/ Wed, 16 Dec 2020 08:58:13 +0000 https://beyondexclamation.com/?p=11723 The construction technology has an industrial base that works in offering a proper collection of the effective tools. It provides an excellent base for the

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The construction technology has an industrial base that works in offering a proper collection of the effective tools. It provides an excellent base for the usage  of modifications in the construction sector. Moreover, it also provides the best profits for the research and design purposes. It includes the usage of the semi-automated and automated types of equipment offering the best motives for the sector of structure enhancements and constitution of technical outlets of any construction projects.

The Importance of Degrees in the Construction Secto The best point of degrees is it enables people to be capable working in the particular sector with proper skills on the basics of the construction world. Besides, its swift mechanisms have evolved through the years of constant dedication and hard work by the professionals in the field.

Construction technology requires special degrees that can work non-machine learning and machine operating since those are the top-notch strategies to carry out a good procedure.

The professional degree holder in the particular sector of construction technology holds a working certification in residential, commercial, industrial, and public projects with proper project assignments.

They can work up in govt-funded buildings, and can apply  for the building inspectors.

Silled workers come under these posts – makes the construction technology certified professionals, the best planners, providers, and executors in the field.

The Various Criteria to Follow while Considering Construction Technology

It only validates the already proven technologies that are put into use and have improved the sector with better productivity by 30- 45%.

This should have improved the reliability and closure of the material.

It has not advanced to any automation stage as of now. But still, the keys to attain the same layer in the costing, scheduling, quality ensuring, providing safety, and the best production unit.

The electrical appliances and devices should be especially kept in check to provide the best protection in the industry ensuring accountability, constructability, maintenance issues, operational issues, and cost-effective construction tactics.

The outside resources other than the above include wireless and advanced building typologies and techniques.

The Prospects of the Construction Sectors

One of the most innovative sectors – The construction consists of the planned executions of a project and has the bestminds putting their thoughts into it with some of the large scale and costlier projects

Very adaptable to the changing times – The construction sector has always been adaptable to the modernized world providing a proper base in the sector for the skilled laborers, artisans, creative
designers, interior specialists, etc. increasing slowly through the years tofinally reach the development projects like skyscrapers.

The inclusion of software and machine learning skills – The addition ofmachine learning and software in construction technology has proven to have provided yet another great discovery in the field of construction. It makes the entire process semi-automated with the help of the usage of controlled
application. 

The help through modern technologies – The lack of the skilled labor and the sustainability options have given rise to the usage of the digital world advantages. It includes sensor constructed pictures for detailed analysis, robot laborers doing tasks that are dangerous for the human labor systems, etc. It carries robots that are assembled to carry heavy construction material for the swift construction process. Besides, it keeps an eye on the working developments around the site, connected construction hats that ensure the positions of the laborers and can keep an eye on them, the smart boots that ensure a schematic sensory alignment for the people and help detect their working fragility, etc. 

Conclusion

The construction technology is an ever-growing sector that requires artistic engineers to give in the best prosperity to new construction ideas and methods. The predictive analysis is already very accurate for the building typologies – the other aspects would be the usage of the best technological advancements to avail the works. The buildings have to be sustainable and friendly to people with the best-reduced carbon footprint score. All of these are essential to provide the best environment for the people to sustain in. 

 

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Cluster Analysis – A Powerful Tool https://beyondexclamation.com/cluster-analysis-a-powerful-tool/ Wed, 16 Dec 2020 08:54:53 +0000 https://beyondexclamation.com/?p=11717 What does Cluster Analysis mean? It is the grouping and classification of objects, based on their differences or similarities, into clusters and assigning a suitable

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What does Cluster Analysis mean? It is the grouping and classification of objects, based on their differences or similarities, into clusters and assigning a suitable label to the clusters. A very strong tool that is needed by every organization of every sector, is Cluster Analysis. Cluster Analysis deals with data matrices and partitioning of objects into their subsets, there is no beforehand information about the clusters. To find comparable groups of objects and the similarity between these objects is the main purpose of Cluster Analysis. The similarities and comparisons of all the objects or subjects of a cluster are the measuring units of the entire set of characteristics.

Applications of Cluster Analysis

Cluster Analysis is used widely in the market to classify consumers and grouping them based on their homogeneity, which is one of its biggest applications. Classification is done on the basis of consumer’s patterns of purchasing a product.

Analyzing the pattern of deception, criminal activities, and fraudulent are detected using data mining. In the smart city projects, based on geographies, types of houses, and their values, houses are classified. In botany, plants are classified based on their similarities in genes. Clustering is getting used extensively to detect traffic on websites, particularly from bots and spams. Firstly, characteristics of the traffic resources are clubbed together to create clusters and then the traffic types are classified. This technique is used widely in detections.

Methods of Cluster Analysis

Cluster Analysis is a problem formulating process which deals with choosing the procedure and the measure on which the clusters will be based, deciding the number of clusters to be formed and evaluating the validity, and draw conclusions. Clustering can be done in five ways:

1) Hierarchical Clustering Method

The Hierarchical Clustering method works by grouping data into tree-like structures called Dendrogram, which gives sequence-wise statistics of how objects are merged. This method aims at producing a hierarchical series of nested groups. The methods to achieve hierarchical clustering are:

Agglomerative – In the Agglomerative method, every object is considered as an individual cluster and most relatable and nearest clusters are merged. It keeps on iterating until one cluster of different merged clusters is created.

Divisive – In this approach of clustering all the objects are accounted for a single cluster, and after every repetition, dissimilar objects are separated. To be precise it is just the opposite of the Agglomerative approach.

2) Partitioning Clustering Method

In this K-Mean method, a database containing N objects is partitioned by K partitions which are user-defined. Based on similarities clusters are formed, which are defined concerning the mean value of the cluster.

3) Density-Based Clustering Method

In this technique, distinctive groups are identified keeping the focus on density. It uses data connectivity and data reachability. The Density-Based Clustering aims at identifying regions where objects are concentrated and are separated by empty areas and the points that are not members of a cluster are marked as noise.

4) Grid-Based Clustering Method

In this approach, clusters are mined into clusters in a large multidimensional space and are considered as denser sections than their surroundings. It works by performing a stepped procedure.

  • The grid structure is created by partitioning the data space into cells.
  • The cell density is calculated.
  • Cells are sorted based on their densities.
  • Cluster centers are identified.
  • Neighbor cells are traversed.

5) Constraint-Based Clustering Method

The constraint-Based Clustering Method deals with constraints that are user-defined. Constraint-based grouping helps interactive communications, provided by restrictions. The constraints are categories as:

  • Constraints on an individual object and its properties.
  • Constraint on selecting clustering parameters.
  • Based on partial supervision, semi-supervised clustering.
  • Constraint on the similarity of functions.

6) Model-Based Clustering Methods

In model-based clustering, the data is assumed to be formed by a mixture of probability distributions and each component representing a distinct cluster. Thus the clustering method is demanded to work well when the data fit the model.

Conclusion

The data which is collected is unorganized, clustering organizes the data and grouping thus makes the task of studying the data easier for an expert. The algorithms used are scalable since the database is large. The algorithms used show their versatile nature as many types of data used. The data can be binary, interval-based, or categorical. High dimensional data is handled easily using Cluster Analysis. The result of the Analysis is readable and is very helpful to draw conclusions from researches.

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Business intelligence helps make intelligent decisions https://beyondexclamation.com/business-intelligence-helps-make-intelligent-decisions/ Wed, 16 Dec 2020 08:50:30 +0000 https://beyondexclamation.com/?p=11711 Business intelligence (BI) can be described as system that integrates data processing, data storage, knowledge management with analysis to analyze complex organizational and strategic information

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Business intelligence (BI) can be described as system that integrates data processing, data storage, knowledge management with analysis to analyze complex organizational and strategic information for presentation to planners and decision makers, with the goal of enhancing the timeliness and consistency of feedback into the decision-making process, according to Solomon Negash and Paul Gray.

It is a package of applications and services that turns data into actionable intelligence and expertise. BI has a significant effect on the political, logistical and organizational actions of the company. BI promotes fact-based decision-making by using historical evidence rather than hypotheses and intestines. BI applications conduct data analysis and produce analyses, summaries, dashboards, diagrams, graphs and charts to provide customers with accurate insight on the essence of the market.

It is vital to remember that this is a very recent concept of BI, and as a buzzword, BI has had a strangled past. Classic Business intelligence, capital letters and all, initially originated in the 1960s as a mechanism for exchanging information through organizations. In the 1980s, it further evolved alongside computer models for decision-making and translating data into knowledge before becoming a basic offering of IT-related service solutions from BI teams.

By showing current and past evidence within their market background, Business intelligence can help enterprises make smarter decisions. To make the enterprise run faster and more effectively, analysts will use BI to include success and competitor benchmarks. In order to improve sales or revenue, analysts can even more quickly spot industry patterns. Using reliably, from enforcement to recruiting campaigns, the right data will assist with everything.

Identifying opportunities to maximize profit, evaluate consumer behavior, match data with rivals, monitor results, improve activities, forecast progress, identify industry patterns, discover challenges or problems are several areas that Business intelligence can help enterprises make better, data-driven decisions.

Questions and objectives emerge for enterprises and organizations. They compile the requisite data, review it, and decide which steps to take to accomplish their targets in order to address these questions and monitor success toward these goals. In the technological hand, raw data from the operations of the organization is obtained. In data centers, data is analyzed and then stored. Users will only view the data until it’s stored, beginning the review process to address business questions.

Market intelligence incorporates market analytics and data analytics, but only uses them as elements of the whole operation. BI lets developers draw data interpretation conclusions. In order to detect trends and model possible patterns, data scientists dive into the details of data, using sophisticated statistics and predictive analytics. Market intelligence takes certain models and algorithms into actionable terminology and breaks down the findings. As part of a bigger Business intelligence plan, companies perform business analytics. BI is designed to address precise questions and provide choices or preparation with an at-a-glance review. Companies should, however, use the analytics processes to continuously develop follow-up questions and iteration. Business investigation shouldn’t be a straight cycle in light of the fact that addressing one inquiry will probably prompt subsequent inquiries and emphasis. Or maybe, think about the cycle as a pattern of information access, revelation, investigation, and data sharing. This is known as the pattern of investigation, a cutting edge term clarifying how organizations use examination to respond to changing inquiries and desires.

Business intelligence platforms have traditionally been based on a conventional paradigm of Business intelligence. This was a top-down policy where the IT company was driving Business intelligence and most, if not all, strategic questions were asked by static reports. This meant that their appeal would go to the back of the reporting list if anyone had a follow-up question about the report they submitted, and they would have to resume the process again.

Modern organization intelligence, though, is collaborative and approachable. Although IT divisions are still an important part of data access control, various user levels will configure dashboards and, with little notice, generate reports. Users are encouraged to interpret data and answer their own questions with the proper tools.

The following are few developments in Business intelligence and analytics you should be mindful of.

Artificial Intelligence: Gartner’s research reveals that AI and machine learning are now taking on complex human intelligence roles. This capability is being leveraged to come up with real-time data collection and dashboard monitoring.

Collaborative BI: BI apps, together with collaborative platforms, including social media, and other emerging technology, improves team collaborative decision-making work and sharing.

Embedded BI: To enhance and expand its monitoring capabilities, Embedded BI enables the incorporation of BI software or any of its functions into another business program.

Cloud Analytics: BI apps will be offered in the cloud soon, and this platform will be shifted to more firms. Within a few years, as per their estimates, spending on cloud-based analytics would rise 4.5 times faster.

The BI framework lets companies maximize awareness, competitiveness and transparency.

The drawbacks of BI are that the expensive and very complicated procedure is time-consuming.

 

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