Machine learning for cyber agents [electronic resource] : attack and defence / Stanislav Abaimov, Maurizio Martellini.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Machine learning for cyber agents [electronic resource] : attack and defence / Stanislav Abaimov, Maurizio Martellini.

9783030915858 (electronic bk.)
3030915859 (electronic bk.)
3030915840
9783030915841

Cham, Switzerland : Springer, 2022.

English

1 online resource.

10.1007/978-3-030-91585-8 doi

Q325.5

006.3/1

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.

Includes bibliographical references.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed February 3, 2022).

Advanced sciences and technologies for security applications.

Print version: 9783030915841

Online Resources > Ebooks
All Resources