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1 Abaimov, Stanislav Machine Learning for Cyber Agents I12486 2022 Book  
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TitleMachine Learning for Cyber Agents : Attack and Defence
Author(s)Abaimov, Stanislav;Martellini, Maurizio
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXV, 227 p. 27 illus., 23 illus. in color : online resource
Abstract NoteThe cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter. With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area ??? the application of machine learning for offensive purposes, an aspect that is widely misunderstood, under-represented in the academic literature and requires immediate expert attention
Keyword(s)1. Computer networks???Security measures 2. Data and Information Security 3. Data protection 4. EBOOK 5. EBOOK - SPRINGER 6. MACHINE LEARNING 7. Mobile and Network Security 8. Security Science and Technology 9. Security systems
Item TypeBook
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Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I12486     On Shelf    

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