| 书目名称 | Machine Learning for Cyber Agents | | 副标题 | Attack and Defence | | 编辑 | Stanislav Abaimov,Maurizio Martellini | | 视频video | | | 概述 | Classifies Attack and Defence applications of Machine Learning in cyber security.Explores impact on international discussions.Addresses future challenges of machine learning and cyber security | | 丛书名称 | Advanced Sciences and Technologies for Security Applications | | 图书封面 |  | | 描述 | .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 iswidely misunderstood, under-represented in the academic literature and requires immediate expert attention.. | | 出版日期 | Book 2022 | | 关键词 | Cyber Security; Autonomous Systems; Network Security; Software Security; Security Testing; Cyber Diplomac | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-91585-8 | | isbn_softcover | 978-3-030-91587-2 | | isbn_ebook | 978-3-030-91585-8Series ISSN 1613-5113 Series E-ISSN 2363-9466 | | issn_series | 1613-5113 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:23:39
