Machine Learning for Cyber Agents

£79.50

Machine Learning for Cyber Agents

Attack and Defence

Security and fire alarm systems Computer security Network security Machine learning

Authors: Stanislav Abaimov, Maurizio Martellini

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Collection: Advanced Sciences and Technologies for Security Applications

Language: English

Published by: Springer

Published on: 27th January 2022

Format: LCP-protected ePub

Size: 7 Mb

ISBN: 9783030915858


Introduction

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.

Importance of Understanding AI in Cybersecurity

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.

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