AI-Driven Security
暫譯: AI 驅動的資安

Alqahtani, Ali Abdullah S.

AI-Driven Security
  • 出版商: Wiley
  • 出版日期: 2026-11-05
  • 售價: $5,190
  • 貴賓價: 9.5 折 $4,930
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394371217
  • ISBN-13: 9781394371211
  • 相關分類: 資訊安全、Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

Leverage AI for adaptive cyber defense against evolving threats

Artificial intelligence simultaneously strengthens cyber defenses and introduces new attack vectors such as adversarial exploits and AI-driven malware. AI-Driven Security: Navigating Threats and Defenses in a New Era, written by two cybersecurity researchers specializing in digital authentication and information assurance, examines this dual role by integrating machine learning, deep learning, and generative AI across networks, endpoints, IoT, and autonomous systems.

AI-Driven Security covers real-time network traffic analysis and anomaly detection, insider threat identification through pattern analysis, and AI-assisted incident response that reduces delays. The book examines adversarial attacks on AI systems and strategies for building resilient defenses. It also addresses ethical dimensions including privacy, bias and fairness, and accountability alongside regulatory and societal considerations.

Readers will also find:

  • Real-world case studies illustrating how AI accelerates detection and mitigation during cyber incidents across diverse operational environments
  • Coverage of emerging technologies including 6G networks, quantum computing challenges, and blockchain integration with privacy-enhancing security frameworks
  • Strategies for defending against adversarial attacks targeting AI models and securing machine learning pipelines from exploitation
  • Analysis of ethical issues in AI-driven security spanning bias, fairness, transparency, and accountability in automated decision-making
  • Forward-looking perspectives on generative AI, reinforcement learning, and their roles in proactive threat prediction and response

Designed for cybersecurity professionals, AI researchers, and policymakers, this book connects threat detection automation with broader defense frameworks and ethical governance. Students and academics in AI and cybersecurity programs will also find structured, research-grounded coverage of both offensive and defensive AI applications.

商品描述(中文翻譯)

運用 AI 建立因應不斷演變威脅的自適應網路防禦

人工智慧（AI）在強化網路防禦能力的同時，也帶來對抗性攻擊（adversarial exploits）與 AI 驅動惡意軟體等全新的攻擊向量。《AI-Driven Security: Navigating Threats and Defenses in a New Era》由兩位專精於數位身分驗證（digital authentication）與資訊保障（information assurance）的網路安全研究人員共同撰寫，探討 AI 的雙重角色，並將 machine learning、deep learning 與 generative AI 應用於網路、端點、IoT 及自主系統。

《AI-Driven Security》涵蓋即時網路流量分析與異常偵測、透過模式分析識別內部威脅，以及可縮短延遲時間的 AI 輔助事件回應。本書也探討針對 AI 系統發動的對抗性攻擊，以及建立韌性防禦機制的策略。此外，本書亦說明隱私、偏誤與公平性、問責等倫理層面，以及相關的法規與社會考量。

讀者還將了解：

• 以真實世界案例說明 AI 如何在各種營運環境的網路事件期間，加速威脅偵測與緩解

• 涵蓋 6G 網路、量子運算所帶來的挑戰，以及 blockchain 如何與強化隱私的安全框架整合等新興技術

• 防禦針對 AI 模型發動之對抗性攻擊的策略，以及保護 machine learning pipeline 免於遭受利用

• 分析 AI 驅動安全中的倫理議題，包括自動化決策中的偏誤、公平性、透明度與問責

• 前瞻性探討 generative AI、reinforcement learning，以及兩者在主動式威脅預測與回應中的作用

本書專為網路安全專業人員、AI 研究人員與政策制定者設計，將威脅偵測自動化與更廣泛的防禦框架及倫理治理連結起來。AI 與網路安全相關課程的學生和學術研究人員，也能從中獲得結構完整、以研究為基礎的內容，深入了解 AI 在攻擊與防禦兩方面的應用。

作者簡介

Ali Abdullah S. AlQahtani, PhD, is an Assistant Professor of Software Engineering (Cybersecurity Track) and Founding Director of the Defense Research Lab at Prince Sultan University. He previously served as an Assistant Professor and Founding Director of CyberNex at North Carolina A&T State University, where he taught and supervised graduate and doctoral students. He also held faculty roles in Computer Science and Cybersecurity at the University of Wisconsin. His research advances cybersecurity with innovative zero-effort digital authentication, threat identification, and security analysis. He further explores IoT, AI, and ML applications. To date, he has secured $6,755,833.33 in funded grants as a Principal Investigator.

Muhammad Khurram Khan, PhD, is a global thought leader and influencer in cybersecurity. He is a Professor of Cybersecurity at the Center of Excellence in Information Assurance, King Saud University, Saudi Arabia. He is the founder and CEO of the "Global Foundation for Cyber Studies and Research", an independent and non-partisan cybersecurity think-tank in Washington, D.C., USA. He is the Editor-in-Chief of 'Telecommunication Systems', published by Springer-Nature. He has published over 500 research papers and is an inventor of 12 US patents. His research areas of interest are cybersecurity, AI Security, IoT security, vehicular cybersecurity, digital authentication, and cyber policy.

Mohamed Hammad, PhD, is an Associate Professor at Menoufia University, Egypt, and a Researcher at Prince Sultan University, Saudi Arabia. He earned his Ph.D. in Computer Science from Harbin Institute of Technology, China. His research focuses on pattern recognition, AI, machine learning, and cybersecurity. Dr. Hammad has published over 50 SCI-indexed papers, edited five books, and serves on editorial boards for journals such as BMC Bioinformatics. He is a top 2% cited scientist (Stanford University, 2022-2025) and an ACM Professional Member.

作者簡介(中文翻譯)

Ali Abdullah S. AlQahtani 博士是 Prince Sultan University 軟體工程學系（Cybersecurity 組）的助理教授，也是 Defense Research Lab 的創辦主任。他曾任 North Carolina A&T State University 的助理教授及 CyberNex 創辦主任，期間負責教授課程並指導研究所與博士生。他也曾在 University of Wisconsin 擔任 Computer Science 與 Cybersecurity 領域的教職。其研究透過創新的零操作數位身分驗證、威脅識別與安全性分析，推動 Cybersecurity 的發展。此外，他也研究 IoT、AI 與 ML 的應用。截至目前為止，身為主要研究人員（Principal Investigator），他已取得總額 6,755,833.33 美元的研究經費。

Muhammad Khurram Khan 博士是全球知名的 Cybersecurity 思想領袖與意見影響者。他是沙烏地阿拉伯 King Saud University Information Assurance 卓越中心的 Cybersecurity 教授，也是「Global Foundation for Cyber Studies and Research」的創辦人兼執行長。該基金會是位於美國華盛頓特區、獨立且不具黨派立場的 Cybersecurity 智庫。他是 Springer-Nature 出版之《Telecommunication Systems》的總編輯。他已發表超過 500 篇研究論文，並擁有 12 項美國專利。其研究興趣包括 Cybersecurity、AI Security、IoT security、車載 Cybersecurity、數位身分驗證與網路政策。

Mohamed Hammad 博士是埃及 Menoufia University 的副教授，也是沙烏地阿拉伯 Prince Sultan University 的研究員。他於中國 Harbin Institute of Technology 取得 Computer Science 博士學位。其研究專注於模式識別、AI、machine learning 與 Cybersecurity。Hammad 博士已發表超過 50 篇 SCI 索引論文，編輯過 5 本書，並擔任包括 BMC Bioinformatics 在內之期刊的編輯委員。他是史丹佛大學評選的全球前 2% 高被引用科學家（2022–2025），也是 ACM Professional Member。

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