Machine learning for cyber agents attack and defence / [electronic resource] :

• 作者： Abaimov, Stanislav.
• 其他作者：
  • Martellini, M.
  • SpringerLink (Online service)
• 其他題名：
  • Advanced sciences and technologies for security applications.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Advanced sciences and technologies for security applications,
• 主題： Machine learning--Security measures. , Machine Learning. , Data and Information Security. , Mobile and Network Security. , Security Science and Technology.
• ISBN： 9783030915858 (electronic bk.) 、 9783030915841 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 1. Introduction -- 2. Understanding Machine Learning -- 3. Defence -- 4. Attack -- 5. Feasibility and Misconceptions -- 6. International resonance -- 7. Prospects -- 8. Conclusion.
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• 摘要註: 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.
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