scholarly journals An Artificial Intelligence URL Parser for Safer Web Browsing and Detection of Suspicious Links

2021 ◽  
Vol 11 (04) ◽  
pp. 01-10
Author(s):  
James Jin ◽  
Gayatri S ◽  
Yu Sun
Keyword(s):  
Artificial Intelligence ◽  
Linear Regression ◽  
Cyber Security ◽  
General Public ◽  
Leisure Activities ◽  
Personal Data ◽  
Cyber Attacks ◽  
The Internet ◽  
Security Breaches ◽  
Online Platforms

With more than seven billion people actively using the Internet, the number of cyber attacks has increased, and personal data breaches have become a concern among the general public. The COVID-19 pandemic has only increased the use of online platforms and services for work and leisure activities, which opens the door to more scams, viruses, and other cyber security breaches. Guided by SEO techniques and research regarding dangerous website and domain patterns, we have designed and implemented a visual system that tracks suspicious links on an active webpage and marks them in order to alert users to proceed with caution. Our AI utilizes linear regression to best detect trends in URL parsing, comparing them with registered unsafe links to see if they pose similar threats. The results reveal that AI isn’t entirely accurate since some trends are hard to decipher; however, it can reliably flag certain redirects and out-of-domain links that would otherwise remain hidden to users.

scholarly journals Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments – cyber risk in the colonisation of Mars

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Kevin Page ◽  
Max Van Kleek ◽  
Omar Santos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Real Time ◽  
Cyber Security ◽  
Extreme Environments ◽  
Learning Technologies ◽  
Cyber Attacks ◽  
Edge Computing ◽  
Mathematical Formulas ◽  
Cyber Risk

AbstractMultiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that could be very costly to repair or replace in cases of cyber-attacks. This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self-adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real-time intelligence in edge computing. The paper presents a new mathematical approach for integrating concepts for cognition engine design, edge computing and Artificial Intelligence and Machine Learning to automate anomaly detection. This engine instigates a step change by applying Artificial Intelligence and Machine Learning embedded at the edge of IoT networks, to deliver safe and functional real-time intelligence for predictive cyber risk analytics. This will enhance capacities for risk analytics and assists in the creation of a comprehensive and systematic understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when Artificial Intelligence and Machine Learning technologies are migrated to the periphery of the internet and into local IoT networks.

scholarly journals Fuzzy-Based Symmetrical Multi-Criteria Decision-Making Procedure for Evaluating the Impact of Harmful Factors of Healthcare Information Security

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 664 ◽  
Author(s):  
Rajeev Kumar ◽  
Abhishek Kumar Pandey ◽  
Abdullah Baz ◽  
Hosam Alhakami ◽  
Wajdi Alhakami ◽  
...  
Keyword(s):  
Decision Making ◽  
Information Security ◽  
Information Management ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Multi Criteria Decision Making ◽  
Local Hospital ◽  
Healthcare Information ◽  
Security Breaches ◽  
The Impact

Growing concern about healthcare information security in the wake of alarmingly rising cyber-attacks is being given symmetrical priority by current researchers and cyber security experts. Intruders are penetrating symmetrical mechanisms of healthcare information security continuously. In the same league, the paper presents an overview on the current situation of healthcare information and presents a layered model of healthcare information management in organizations. The paper also evaluates the various factors that have a key contribution in healthcare information security breaches through a hybrid fuzzy-based symmetrical methodology of AHP-TOPSIS. Furthermore, for assessing the effect of the calculated results, the authors have tested the results on local hospital software of Varanasi. Tested results of the factors are validated through the comparison and sensitivity analysis in this study. Tabulated results of the proposed study propose a symmetrical mechanism as the most conversant technique which can be employed by the experts and researchers for preparing security guidelines and strategies.

scholarly journals The Role of Blockchain in Cyber Security

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Dylan Rafferty ◽  
Kevin Curran
Keyword(s):  
Data Storage ◽  
Cyber Security ◽  
Board Members ◽  
The Internet ◽  
Network Architectures ◽  
General Data Protection Regulation ◽  
Security Breaches ◽  
General Data ◽  
The Internet Of Things

Cyber security breaches are on the rise globally. Due to the introduction of legislation like the EU’s General Data Protection Regulation (GDPR), companies are now subject to further financial penalties if they fail to meet requirements in protecting user information.  In 2018, 75% of CEOs and board members considered cyber security and technology acquisitions among their top priorities, and blockchain based solutions were among the most considered options. Blockchain is a decentralised structure that offers multiple security benefits over traditional, centralised network architectures. These two approaches are compared in this chapter in areas such as data storage, the Internet of Things (IoT) and Domain Name System (DNS) in order to determine blockchain’s potential in the future of cyber security.

Exploring Cyber Security Vulnerabilities in the Age of IoT

2018 ◽  
pp. 1609-1623 ◽  
Author(s):  
Shruti Kohli
Keyword(s):  
Cyber Security ◽  
Low Cost ◽  
Cyber Attacks ◽  
Rolling Stock ◽  
Security Vulnerabilities ◽  
Security Breaches ◽  
Closed Networks ◽  
Train Control ◽  
Potential Risks ◽  
Physical Assets

The modernization of rail control systems has resulted in an increasing reliance on digital technology and increased the potential for security breaches and cyber-attacks. Higher-level European Train Control System(ETCS) systems in particular depend on communications technologies to enable greater automation of railway operations, and this has made the protecting the integrity of infrastructure, rolling stock, staff and passengers against cyber-attacks ever more crucial. The growth in Internet of Things (IoT) technology has also increased the potential risks in this area, bringing with it the potential for huge numbers of low-cost sensing devices from smaller manufacturers to be installed and used dynamically in large infrastructure systems; systems that previously relied on closed networks and known asset identifiers for protection against cyber-attacks. This chapter demonstrates that how existing data resources that are readily available to the railways could be rapidly combined and mapped to physical assets. This work contributes for developing secure reusable scalable framework for enhancing cyber security of rail assets

Artificial Intelligence-Based Solutions for Cyber Security Problems

2021 ◽  
pp. 68-86
Author(s):  
Merve Yildirim
Keyword(s):  
Artificial Intelligence ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Network Systems ◽  
Security Systems ◽  
Artificial Intelligence Techniques ◽  
Security Issues ◽  
Security Applications ◽  
Cyber Threats ◽  
Legal Risks

Due to its nature, cyber security is one of the fields that can benefit most from the techniques of artificial intelligence (AI). Under normal circumstances, it is difficult to write software to defend against cyber-attacks that are constantly developing and strengthening in network systems. By applying artificial intelligence techniques, software that can detect attacks and take precautions can be developed. In cases where traditional security systems are inadequate and slow, security applications developed with artificial intelligence techniques can provide better security against many complex cyber threats. Apart from being a good solution for cyber security problems, it also brings usage problems, legal risks, and concerns. This study focuses on how AI can help solve cyber security issues while discussing artificial intelligence threats and risks. This study also aims to present several AI-based techniques and to explain what these techniques can provide to solve problems in the field of cyber security.

scholarly journals Cyber-Attack Scoring Model Based on the Offensive Cybersecurity Framework

2021 ◽  
Vol 11 (16) ◽  
pp. 7738
Author(s):  
Kyounggon Kim ◽  
Faisal Abdulaziz Alfouzan ◽  
Huykang Kim
Keyword(s):  
Cyber Security ◽  
Personal Information ◽  
Cyber Attacks ◽  
The Internet ◽  
Critical Infrastructures ◽  
Cyber Attack ◽  
Security Framework ◽  
Scoring Model ◽  
Advanced Persistent Threats ◽  
The World

Cyber-attacks have become commonplace in the world of the Internet. The nature of cyber-attacks is gradually changing. Early cyber-attacks were usually conducted by curious personal hackers who used simple techniques to hack homepages and steal personal information. Lately, cyber attackers have started using sophisticated cyber-attack techniques that enable them to retrieve national confidential information beyond the theft of personal information or defacing websites. These sophisticated and advanced cyber-attacks can disrupt the critical infrastructures of a nation. Much research regarding cyber-attacks has been conducted; however, there has been a lack of research related to measuring cyber-attacks from the perspective of offensive cybersecurity. This motivated us to propose a methodology for quantifying cyber-attacks such that they are measurable rather than abstract. For this purpose, we identified each element of offensive cybersecurity used in cyber-attacks. We also investigated the extent to which the detailed techniques identified in the offensive cyber-security framework were used, by analyzing cyber-attacks. Based on these investigations, the complexity and intensity of cyber-attacks can be measured and quantified. We evaluated advanced persistent threats (APT) and fileless cyber-attacks that occurred between 2010 and 2020 based on the methodology we developed. Based on our research methodology, we expect that researchers will be able to measure future cyber-attacks.

Role of Cyber Security in Today's Scenario

2017 ◽  
pp. 177-191 ◽  
Author(s):  
Manju Khari ◽  
Gulshan Shrivastava ◽  
Sana Gupta ◽  
Rashmi Gupta
Keyword(s):  
Information Security ◽  
Computer Security ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Cyber Attack ◽  
Individual Property ◽  
Security Breaches ◽  
Information Tools ◽  
History Of ◽  
Security Standards

Cyber Security is generally used as substitute with the terms Information Security and Computer Security. This work involves an introduction to the Cyber Security and history of Cyber Security is also discussed. This also includes Cyber Security that goes beyond the limits of the traditional information security to involve not only the security of information tools but also the other assets, involving the person's own confidential information. In computer security or information security, relation to the human is basically to relate their duty(s) in the security process. In Cyber security, the factor has an added dimension, referring humans as the targets for the cyber-attacks or even becoming the part of the cyber-attack unknowingly. This also involves the details about the cybercriminals and cyber risks going ahead with the classification of the Cybercrimes which is against individual, property, organisation and society. Impacts of security breaches are also discussed. Countermeasures for computer security are discussed along with the Cyber security standards, services, products, consultancy services, governance and strategies. Risk management with the security architecture has also been discussed. Other section involves the regulation and certification controls; recovery and continuity plans and Cyber security skills.

The Role of Artificial Intelligence in Cyber Security

2019 ◽  
pp. 170-192
Author(s):  
Kirti Raj Bhatele ◽  
Harsh Shrivastava ◽  
Neha Kumari
Keyword(s):  
Artificial Intelligence ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Data Breaches ◽  
Digital Era ◽  
The Future ◽  
Increasing Risk ◽  
Cyber Criminals

Cyber security has become a major concern in the digital era. Data breaches, ID theft, cracking the captcha, and other such stories abound, affecting millions of individuals as well as organizations. The challenges have always been endless in inventing right controls and procedures and implementing them with acute perfection for tackling with cyber attacks and crimes. The ever-increasing risk of cyber attacks and crimes grew exponentially with recent advancements in artificial intelligence. It has been applied in almost every field of sciences and engineering. From healthcare to robotics, AI has created a revolution. This ball of fire couldn't be kept away from cyber criminals, and thus, the “usual” cyber attacks have now become “intelligent” cyber attacks. In this chapter, the authors discuss specific techniques in artificial intelligence that are promising. They cover the applications of those techniques in cyber security. They end the discussion talking about the future scope of artificial intelligence and cyber security.

Role of Cyber Security in Today's Scenario

2018 ◽  
pp. 1-15 ◽  
Author(s):  
Manju Khari ◽  
Gulshan Shrivastava ◽  
Sana Gupta ◽  
Rashmi Gupta
Keyword(s):  
Information Security ◽  
Computer Security ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Cyber Attack ◽  
Individual Property ◽  
Security Breaches ◽  
Information Tools ◽  
History Of ◽  
Security Standards

Cyber Security is generally used as substitute with the terms Information Security and Computer Security. This work involves an introduction to the Cyber Security and history of Cyber Security is also discussed. This also includes Cyber Security that goes beyond the limits of the traditional information security to involve not only the security of information tools but also the other assets, involving the person's own confidential information. In computer security or information security, relation to the human is basically to relate their duty(s) in the security process. In Cyber security, the factor has an added dimension, referring humans as the targets for the cyber-attacks or even becoming the part of the cyber-attack unknowingly. This also involves the details about the cybercriminals and cyber risks going ahead with the classification of the Cybercrimes which is against individual, property, organisation and society. Impacts of security breaches are also discussed. Countermeasures for computer security are discussed along with the Cyber security standards, services, products, consultancy services, governance and strategies. Risk management with the security architecture has also been discussed. Other section involves the regulation and certification controls; recovery and continuity plans and Cyber security skills.

A Review on Cyber Security Mechanisms Using Machine and Deep Learning Algorithms

2020 ◽  
pp. 23-41 ◽  
Author(s):  
Thiyagarajan P.
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Information Security ◽  
Cyber Security ◽  
Learning Algorithms ◽  
The Other ◽  
The Internet ◽  
Learning Techniques

Digitalization is the buzz word today by which every walk of our life has been computerized, and it has made our life more sophisticated. On one side, we are enjoying the privilege of digitalization. On the other side, security of our information in the internet is the most concerning element. A variety of security mechanisms, namely cryptography, algorithms which provide access to protected information, and authentication including biometric and steganography, provide security to our information in the Internet. In spite of the above mechanisms, recently artificial intelligence (AI) also contributes towards strengthening information security by providing machine learning and deep learning-based security mechanisms. The artificial intelligence (AI) contribution to cyber security is important as it serves as a provoked reaction and a response to hackers' malicious actions. The purpose of this chapter is to survey recent papers which are contributing to information security by using machine learning and deep learning techniques.

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