AI-Driven National Cyber Defense and Resilience Strategies
暫譯: AI 驅動的國家網路防禦與韌性策略

Zaydi, Mounia, Maleh, Yassine, Zaydi, Hayat

  • 出版商: CRC
  • 出版日期: 2026-08-25
  • 售價: $4,790
  • 貴賓價: 9.5$4,550
  • 語言: 英文
  • 頁數: 286
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041095074
  • ISBN-13: 9781041095071
  • 相關分類: Machine Learning
  • 尚未上市,無法訂購

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商品描述

The acceleration of the digital transformation of critical infrastructure, government services, and military systems has profoundly changed the cyber threat landscape. Governments now face cyber risks of unprecedented scale and sophistication, ranging from advanced persistent threats (APTs) and AI-assisted cyber espionage to large-scale ransomware campaigns, hybrid cyber-physical attacks, and information influence operations. In this context, traditional and reactive approaches to cybersecurity are no longer sufficient to ensure effective national cyber defense and resilience. AI-Driven National Cyber Defense and Resilience Strategies offers an in-depth, forward-looking analysis of how artificial intelligence; specifically, machine learning, deep learning, and generative AI; can be leveraged to strengthen national cyber defense capabilities. The book explores the role of AI in improving threat intelligence, intrusion detection, incident response, cyber deception, security orchestration, and large-scale decision support, while highlighting the new risks posed by adversaries themselves equipped with advanced AI capabilities. Bringing together contributions from researchers, industry experts, and institutional decision-makers, this book presents cutting-edge methodologies, innovative architectural frameworks, and concrete use cases from national security operations centers (SOCs), incident response teams (CSIRTs), military cyber commands, and critical infrastructure operators. Particular attention is given to the concepts of AI-driven cyber resilience, including adaptive defense, autonomous response, cyber situational awareness, and collaborative intelligence sharing at the national and international levels. Beyond technological advances, the book critically examines the issues of governance, ethics, trust, and regulation related to the deployment of artificial intelligence in contexts of digital sovereignty and national defense. By bringing together technical innovations, strategic considerations, and regulatory frameworks, this volume is a leading reference for researchers, practitioners, and decision-makers seeking to design resilient, secure, and trustworthy national cyber defense ecosystems in the age of artificial intelligence.

商品描述(中文翻譯)

數位轉型在關鍵基礎設施、政府服務和軍事系統的加速,深刻改變了網路威脅的格局。各國政府現在面臨前所未有的規模和複雜性的網路風險,這些風險包括高級持續威脅(APTs)、人工智慧輔助的網路間諜活動、大規模勒索病毒攻擊、混合型網路-物理攻擊以及資訊影響行動。在這種情況下,傳統和反應式的網路安全方法已不足以確保有效的國家網路防禦和韌性。《AI驅動的國家網路防禦與韌性策略》提供了深入且前瞻性的分析,探討如何利用人工智慧,特別是機器學習、深度學習和生成式AI,來加強國家網路防禦能力。本書探討了人工智慧在改善威脅情報、入侵檢測、事件響應、網路欺騙、安全協調和大規模決策支持中的角色,同時強調了對手自身具備先進AI能力所帶來的新風險。本書匯集了研究人員、業界專家和機構決策者的貢獻,呈現了前沿的方法論、創新的架構框架以及來自國家安全運營中心(SOCs)、事件響應團隊(CSIRTs)、軍事網路指揮部和關鍵基礎設施運營商的具體案例。特別關注AI驅動的網路韌性概念,包括自適應防禦、自主響應、網路情境意識以及在國內和國際層面的協作智慧共享。除了技術進步外,本書還批判性地檢視了與在數位主權和國防背景下部署人工智慧相關的治理、倫理、信任和監管問題。通過整合技術創新、戰略考量和監管框架,本書是研究人員、實務工作者和決策者在人工智慧時代設計韌性、安全和可信的國家網路防禦生態系統的主要參考資料。

作者簡介

Prof. Mounia Zaydi is an Associate Professor of Cybersecurity at JUNIA ISEN Engineering School and a researcher at the Interdisciplinary Laboratory of Transitions of the Catholic University of Lille, France. She is a member of IEEE and the International Association of Engineers (IAENG). Her research focuses on information security and privacy, network and IoT security, IT governance, risk management, and the application of artificial intelligence to cybersecurity operations, incident response, and digital transformation. Her work particularly addresses the role of AI in enhancing security agility, threat detection, and resilience within complex information systems. Prof. Zaydi has authored and co-authored numerous peer-reviewed publications, including journal articles and book chapters, and actively contributes to the academic community as a reviewer and member of executive and technical program committees for international conferences and journals.

Prof. Yassine Maleh is an Associate Professor of Cybersecurity and IT Governance at Sultan Moulay Slimane University, Morocco. He is the founding chair of the IEEE Consultant Network Morocco and the founding president of the African Research Center of Information Technology & Cybersecurity. He is a Senior Member of IEEE and a member of IAENG and the Machine Intelligence Research Labs. His research activities focus on information security and privacy, Internet of Things security, wireless and constrained networks, and IT governance. He has authored and edited numerous scholarly works, including journal articles, conference papers, and books, and is widely recognized for his contributions to cybersecurity research and knowledge dissemination. Maleh holds several key editorial roles, including Editor-in-Chief and Associate Editor positions in leading international journals, and serves as a series editor for academic book collections in cybersecurity management. He is actively involved in the organization of international conferences and regularly contributes as a reviewer and program committee member for high-impact journals and conferences. His academic leadership and service activities have significantly contributed to advancing cybersecurity research at both regional and international levels.

Prof. Hayat Zaydi is a Professor of Computer Science at the National Superior School of Mines of Rabat (ENSMR), Morocco. She is a Cisco Academy Instructor and a member of the International Association of Engineers (IAENG). Her research spans the Internet of Things, with a particular emphasis on healthcare-oriented applications, as well as artificial intelligence and distributed computing paradigms such as edge, fog, and cloud computing. A central focus of her work lies in the design of secure and resilient data-driven architectures integrating machine learning and deep learning techniques, especially within Internet of Medical Things (IoMT) environments. Zaydi has published extensively in international journals, conferences, and edited volumes. She is actively engaged in the academic community through her participation in technical program committees and as a reviewer for numerous international scientific venues. Her work bridges advanced computing architectures, AI, and cybersecurity to address emerging challenges in smart and healthcare systems.

Prof. Youness Khourdifi is a Professor and Researcher in Computer Science at Sultan Moulay Slimane University, Morocco, where he teaches at the Faculty of Polydisciplinary Studies of Khouribga. He is an active member of the Laboratory of Material Sciences, Mathematics, and Environment (LS2ME) and is affiliated with professional organizations including IEEE, ACM, IAENG, and Fondation Maroc Numérique. His research interests lie at the intersection of artificial intelligence, data engineering, and healthcare technologies. His work includes database migration and interoperability, particularly the automation of relational-to-NoSQL transformations, as well as the application of deep learning techniques to medical data analysis. He also investigates issues related to information security, IoT security, big data, and intelligent systems. Khourdifi has authored numerous scientific publications and actively contributes to the research community as a reviewer and program committee member in the fields of artificial intelligence and data science. Through his academic and organizational activities, he promotes interdisciplinary collaboration and the practical application of advanced computational methods to real-world challenges.

作者簡介(中文翻譯)

穆尼亞·扎伊迪教授是法國里爾天主教大學跨學科轉型實驗室的網路安全副教授及研究員,並在JUNIA ISEN工程學院任教。她是IEEE及國際工程師協會(IAENG)的成員。她的研究專注於資訊安全與隱私、網路與物聯網安全、IT治理、風險管理,以及人工智慧在網路安全操作、事件響應和數位轉型中的應用。她的工作特別針對人工智慧在提升安全靈活性、威脅檢測和複雜資訊系統的韌性方面的角色。扎伊迪教授已發表和共同發表多篇經過同行評審的出版物,包括期刊文章和書籍章節,並作為審稿人及國際會議和期刊的執行及技術程序委員會成員,積極貢獻於學術界。

雅辛·馬雷教授是摩洛哥穆萊·斯利曼大學的網路安全及IT治理副教授。他是摩洛哥IEEE顧問網路的創始主席,以及非洲資訊技術與網路安全研究中心的創始會長。他是IEEE的高級會員,並且是IAENG及機器智能研究實驗室的成員。他的研究活動專注於資訊安全與隱私、物聯網安全、無線及受限網路,以及IT治理。他已發表和編輯多部學術作品,包括期刊文章、會議論文和書籍,並因其對網路安全研究及知識傳播的貢獻而廣受認可。馬雷在多本國際期刊中擔任主編和副編輯等多個重要編輯角色,並擔任網路安全管理學術書籍系列的編輯。他積極參與國際會議的組織,並定期作為高影響力期刊和會議的審稿人及程序委員會成員。他的學術領導和服務活動對於推進區域及國際層面的網路安全研究有著顯著貢獻。

哈雅特·扎伊迪教授是摩洛哥拉巴特國立礦業高等學校(ENSMR)的計算機科學教授。她是思科學院的講師,並且是國際工程師協會(IAENG)的成員。她的研究涵蓋物聯網,特別強調以健康照護為導向的應用,以及人工智慧和分散式計算範式,如邊緣計算、霧計算和雲計算。她的工作重點在於設計安全且具韌性的數據驅動架構,整合機器學習和深度學習技術,特別是在醫療物聯網(IoMT)環境中。扎伊迪在國際期刊、會議和編輯卷中發表了大量文章。她通過參與技術程序委員會和擔任多個國際科學場域的審稿人,積極參與學術社群。她的工作將先進計算架構、人工智慧和網路安全結合起來,以應對智慧和健康照護系統中的新興挑戰。

尤內斯·庫爾迪菲教授是摩洛哥穆萊·斯利曼大學的計算機科學教授及研究員,並在庫里比加的多學科研究學院任教。他是材料科學、數學和環境實驗室(LS2ME)的活躍成員,並與包括IEEE、ACM、IAENG和摩洛哥數位基金會等專業組織有關聯。他的研究興趣位於人工智慧、數據工程和健康照護技術的交集上。他的工作包括數據庫遷移和互操作性,特別是關於關聯型到NoSQL轉換的自動化,以及將深度學習技術應用於醫療數據分析。他還研究與資訊安全、物聯網安全、大數據和智能系統相關的問題。庫爾迪菲已發表多篇科學出版物,並作為人工智慧和數據科學領域的審稿人及程序委員會成員,積極貢獻於研究社群。通過他的學術和組織活動,他促進了跨學科合作,並將先進計算方法的實際應用推向現實挑戰。