UID:
almahu_9949241459002882
Format:
XV, 227 p. 27 illus., 23 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030915858
Series Statement:
Advanced Sciences and Technologies for Security Applications,
Content:
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.
Note:
1. Introduction -- 2. Understanding Machine Learning -- 3. Defence -- 4. Attack -- 5. Feasibility and Misconceptions -- 6. International resonance -- 7. Prospects -- 8. Conclusion.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030915841
Additional Edition:
Printed edition: ISBN 9783030915865
Additional Edition:
Printed edition: ISBN 9783030915872
Language:
English
DOI:
10.1007/978-3-030-91585-8
URL:
https://doi.org/10.1007/978-3-030-91585-8
Bookmarklink
