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Machine Learning for Cyber Agents = Attack and Defence /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning for Cyber Agents/ by Stanislav Abaimov, Maurizio Martellini.
Reminder of title:	Attack and Defence /
Author:	Abaimov, Stanislav.
other author:	Martellini, Maurizio.
Description:	XV, 227 p. 27 illus., 23 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Security Science and Technology. -
Online resource:	https://doi.org/10.1007/978-3-030-91585-8
ISBN:	9783030915858

Machine Learning for Cyber Agents = Attack and Defence /
Abaimov, Stanislav.

Machine Learning for Cyber AgentsAttack and Defence /[electronic resource] :by Stanislav Abaimov, Maurizio Martellini. - 1st ed. 2022. - XV, 227 p. 27 illus., 23 illus. in color.online resource. - Advanced Sciences and Technologies for Security Applications,2363-9466. - Advanced Sciences and Technologies for Security Applications,.

1. Introduction -- 2. Understanding Machine Learning -- 3. Defence -- 4. Attack -- 5. Feasibility and Misconceptions -- 6. International resonance -- 7. Prospects -- 8. Conclusion.

The 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.

ISBN: 9783030915858

Standard No.: 10.1007/978-3-030-91585-8doiSubjects--Topical Terms:

783419
Security Science and Technology.

LC Class. No.: Q325.5-.7

Dewey Class. No.: 006.31

Machine Learning for Cyber Agents = Attack and Defence /
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