Machine Learning for Cyber Agents: Attack and Defence
暫譯: 網路代理的機器學習：攻擊與防禦

Abaimov, Stanislav, Martellini, Maurizio

Machine Learning for Cyber Agents: Attack and Defence
  • 出版商: Springer
  • 出版日期: 2022-01-28
  • 售價: $5,760
  • 貴賓價: 9.5 折 $5,472
  • 語言: 英文
  • 頁數: 244
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030915840
  • ISBN-13: 9783030915841
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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 is widely misunderstood, under-represented in the academic literature and requires immediate expert attention.

商品描述(中文翻譯)

網路世界因為人工智慧（AI）的發展而同時受到增強與威脅。一方面，許多現有的安全服務性能得到了提升，並且創造了新的工具；另一方面，這也帶來了新的網路威脅，既來自於進化的攻擊能力，也來自於其自身的缺陷和脆弱性。此外，量子電腦進一步推動了可能性的邊界，使得機器學習的網路代理變得更快、更聰明。

在充斥著常常令人困惑的信息以及對各種基於AI技術應用的信任缺失的情況下，擁有一本能夠從網路安全的角度解釋為何以及在什麼階段新興的強大技術——機器學習——可以且應該被不信任的書籍是至關重要的，並且如何在避免潛在災難性後果的同時從中獲益。此外，本書還揭示了另一個高度敏感的領域——機器學習在攻擊性用途上的應用，這一方面在學術文獻中被廣泛誤解且表現不足，亟需專家的關注。

作者簡介

Dr. Stanislav Abaimov is a research associate at the Department of Computer Science, University of Bristol. He received a PhD in Cyber Security and Electronic Engineering from the University of Rome, Tor Vergata; and earned a degree of MSc in Information Security at the Royal Holloway, University of London.

Stanislav’s research area is related to the security of industrial control systems and machine learning application for cyber defence, including in autonomous systems. He is a contributing member of the Pugwash Conferences on Science and World Affairs.

 

Prof. Maurizio Martellini is Director of the Insubria Center on International Security (ICIS), Secretary General of the Landau Network-Fondazione Alessandro Volta (LN-FAV), Professor of Physics at the University of Insubria (Como, Italy), Member of the Pugwash General Conferences, advisor of the Italian Ministryof Foreign Affairs and was Executive Secretary of the former International Working Group (IWG).

作者簡介(中文翻譯)

斯坦尼斯拉夫·阿拜莫夫博士是布里斯托大學計算機科學系的研究助理。他在羅馬托爾維爾大學獲得了網絡安全和電子工程的博士學位；並在倫敦皇家霍洛威大學獲得了信息安全的碩士學位。

斯坦尼斯拉夫的研究領域與工業控制系統的安全性以及機器學習在網絡防禦中的應用有關，包括在自主系統中的應用。他是普格瓦什科學與世界事務會議的成員。

毛里齊奧·馬爾泰利尼教授是因蘇布里亞國際安全中心（ICIS）的主任，阿萊桑德羅·伏爾塔基金會（LN-FAV）的秘書長，意大利因蘇布里亞大學（科莫，意大利）物理學教授，普格瓦什大會的成員，意大利外交部的顧問，並曾擔任前國際工作組（IWG）的執行秘書。

類似商品

最後瀏覽商品 (20)