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Artificial Intelligence in Cyber Security: Impact and Implications - Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges (Paperback, 1st ed. 2021)
Loot Price: R4,953
Discovery Miles 49 530
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Artificial Intelligence in Cyber Security: Impact and Implications - Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges (Paperback, 1st ed. 2021)
Series: Advanced Sciences and Technologies for Security Applications
Expected to ship within 10 - 15 working days
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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 of these 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 but also the adversarial
application of AI and its associated implications. The authors
recommend a number of novel approaches to assist in better
detecting, thwarting and addressing AI challenges. The book also
looks ahead and forecasts what attacks can be carried out in the
future through the malicious use of the AI if sufficient defences
are not implemented. The research contained in the book fits well
into the larger body of work on various aspects of AI and cyber
security. It is also aimed at researchers seeking to obtain a more
profound knowledge of machine learning and deep learning in the
context of cyber security, digital forensics and cybercrime.
Furthermore, the book is an exceptional advanced text for Ph.D. and
master's degree programmes in cyber security, digital forensics,
network security, cyber terrorism and computer science. Each
chapter contributed to the book is written by an internationally
renowned expert who has extensive experience in law enforcement,
industry or academia. Furthermore, this book blends advanced
research findings with practice-based methods to provide the reader
with advanced understanding and relevant skills.
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