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Titlebook: Artificial Intelligence in Cyber Security: Impact and Implications; Security Challenges, Reza Montasari,Hamid Jahankhani Book 2021 The Edit

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發(fā)表于 2025-3-21 18:57:43 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence in Cyber Security: Impact and Implications
期刊簡稱Security Challenges,
影響因子2023Reza Montasari,Hamid Jahankhani
視頻videohttp://file.papertrans.cn/163/162415/162415.mp4
發(fā)行地址Covers the technical aspects in terms of both defensive and offensive cyber security measures.Addresses the malicious application of AI such as those related to methods, tools, and techniques.Examines
學科分類Advanced Sciences and Technologies for Security Applications
圖書封面Titlebook: Artificial Intelligence in Cyber Security: Impact and Implications; Security Challenges, Reza Montasari,Hamid Jahankhani Book 2021 The Edit
影響因子.The book provides a valuable reference for cyber security experts, digital forensic practitioners and network security professionals. In recent years, AI has gained substantial attention from researchers in both academia and industry, and as a result AI’s capabilities are constantly increasing at an extraordinary pace. AI is considered to be the Fourth Industrial Revolution or at least the next significant technological change after the evolution in mobile and cloud computing technologies. AI is a vehicle for improving the quality of our lives across every spectrum with a broad range of beneficial applications in various sectors. Notwithstanding its numerous beneficial use, AI simultaneously poses numerous legal, ethical, security and privacy challenges that are compounded by its malicious use by criminals. These challenges pose many risks to both our privacy and security at national, organisational and individual levels..In view of this, this book aims to help address some ofthese challenges focusing on the implication, impact and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI bu
Pindex Book 2021
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Andreas Diekmann,Henriette Engelhardtd real company in the effort to steal sensitive information of the client. This act places many users’ privacy at risk, and therefore researchers continue to work on identifying and improving current detection instruments. Classification is one of the machine learning methods that can be used to det
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https://doi.org/10.1007/978-3-322-93685-1strategic importance across a government [.]. In the midst of the fourth industrial revolution, many countries including the UK have adopted Artificial Intelligence (AI) to achieve optimal national security for its citizens, economy, and institutions. In fact, AI, with its evolving intelligent behav
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Familiale Verbundenheit und Gerechtigkeitble to phishing attacks. Phishing attacks are a trending cybercrime activity and have caused a lot of financial loss using social engineered communication that are transmitted to individuals by cybercriminals aimed at tricking users to share sensitive information, with emails being the prevalent att
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https://doi.org/10.1007/978-3-531-92226-3throughput. This inevitably leads to a number of unintentional hardware vulnerabilities. These vulnerabilities can be exploited to launch devastating hardware attacks and as a result compromise the privacy of end-users. Microarchitectural attacks—the exploit of the microarchitectural behaviour of mo
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