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Titlebook: Machine Learning for Cyber Agents; Attack and Defence Stanislav Abaimov,Maurizio Martellini Book 2022 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 16:23:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Machine Learning for Cyber Agents
副標(biāo)題Attack and Defence
編輯Stanislav Abaimov,Maurizio Martellini
視頻videohttp://file.papertrans.cn/621/620593/620593.mp4
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
叢書(shū)名稱(chēng)Advanced Sciences and Technologies for Security Applications
圖書(shū)封面Titlebook: Machine Learning for Cyber Agents; Attack and Defence Stanislav Abaimov,Maurizio Martellini Book 2022 The Editor(s) (if applicable) and The
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
關(guān)鍵詞Cyber Security; Autonomous Systems; Network Security; Software Security; Security Testing; Cyber Diplomac
版次1
doihttps://doi.org/10.1007/978-3-030-91585-8
isbn_softcover978-3-030-91587-2
isbn_ebook978-3-030-91585-8Series ISSN 1613-5113 Series E-ISSN 2363-9466
issn_series 1613-5113
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 21:16:36 | 只看該作者
Understanding Machine Learning,understood in its complexity and entirety. This chapter will consider it in a more detailed way through providing definitions to its constituting elements and analysing the learning process itself, and will review the accompanying factors around it.
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International Resonance, and ethical environments, etc. AI technologies have brought progressive changes, capabilities to resolve issues unresolvable previously, e.g., environmental and health challenges, assistance to people with disabilities. Increasing the speed of data procession, bringing openness and interconnectedne
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Book 2022nd 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 sma
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International Resonance,nmental and health challenges, assistance to people with disabilities. Increasing the speed of data procession, bringing openness and interconnectedness, they have also magnified all existing challenges in political, economic and social areas, making them more evident and requiring immediate solutions.
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發(fā)表于 2025-3-23 04:34:46 | 只看該作者
1613-5113 re challenges of machine learning and cyber security.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 ca
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