Ai-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability
暫譯: 人工智慧驅動的網路安全與威脅情報：網路自動化、智能決策與可解釋性

Sarker, Iqbal H.

Ai-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability
  • 出版商: Springer
  • 出版日期: 2025-04-29
  • 售價: $6,500
  • 貴賓價: 9.5 折 $6,175
  • 語言: 英文
  • 頁數: 200
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031544994
  • ISBN-13: 9783031544996
  • 相關分類: 資訊安全

    • 海外代購書籍(需單獨結帳)

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商品描述

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how one conceptualize, detect and mitigate cyber threats. An in-depth exploration of AI-driven solutions is presented, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and Explainable AI (XAI) models. As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications and research issues. Throughout this journey, the authors discover innovation, challenges, and opportunities. It provides a holistic perspective on the transformative role of AI in securing the digital world.
Overall, the use of AI can transform the way one detects, responds and defends against threats, by enabling proactive threat detection, rapid response and adaptive defense mechanisms. AI-driven cybersecurity systems excel at analyzing vast datasets rapidly, identifying patterns that indicate malicious activities, detecting threats in real time as well as conducting predictive analytics for proactive solution. Moreover, AI enhances the ability to detect anomalies, predict potential threats, and respond swiftly, preventing risks from escalated. As cyber threats become increasingly diverse and relentless, incorporating AI/XAI into cybersecurity is not just a choice, but a necessity for improving resilience and staying ahead of ever-changing threats.
This book targets advanced-level students in computer science as a secondary textbook. Researchers and industry professionals working in various areas, such as Cyber AI, Explainable and Responsible AI, Human-AI Collaboration, Automation and Intelligent Systems, Adaptive and Robust Security Systems, Cybersecurity Data Science and Data-Driven Decision Making will also find this book useful as reference book.

商品描述(中文翻譯)

本書探討人工智慧（AI）技術如何與網路安全挑戰及威脅情報交互作用的動態，並隨著其演變而變化。將AI整合進網路安全不僅提供了增強的防禦機制，本書還介紹了一種範式轉變，說明如何概念化、檢測和減輕網路威脅。書中深入探討了以AI驅動的解決方案，包括機器學習演算法、數據科學建模、生成式AI建模、威脅情報框架及可解釋的AI（XAI）模型。作為利用AI/XAI來保護數位生態系統免受不斷演變的網路威脅的路線圖或綜合指南，本書提供了見解、建模、實際應用及研究議題。在這段旅程中，作者發現了創新、挑戰和機會。本書提供了AI在保護數位世界中轉型角色的整體觀點。

總體而言，AI的使用可以改變檢測、回應和防禦威脅的方式，通過實現主動威脅檢測、快速回應和自適應防禦機制。以AI驅動的網路安全系統在快速分析龐大數據集方面表現出色，能夠識別顯示惡意活動的模式，實時檢測威脅，並進行預測分析以提供主動解決方案。此外，AI增強了檢測異常、預測潛在威脅和迅速回應的能力，防止風險升級。隨著網路威脅變得越來越多樣化和無情，將AI/XAI納入網路安全不僅是一種選擇，而是提高韌性和保持領先於不斷變化的威脅的必要條件。

本書針對計算機科學的高級學生作為副教材。從事各種領域的研究人員和行業專業人士，如網路AI、可解釋和負責任的AI、人機協作、自動化和智能系統、自適應和穩健的安全系統、網路安全數據科學及數據驅動的決策制定，也會發現本書作為參考書籍非常有用。

作者簡介

Dr. Iqbal H. Sarker received his Ph.D. in Computer Science from Swinburne University of Technology, Melbourne, Australia in 2018. Now he is working as a research fellow at Cybersecurity Cooperative Research Centre (CRC) in association with Security Research Institute, Edith Cowan University, Australia through academia-industry collaboration including CSIRO's Data61. Before that he also worked as a faculty member of the department of computer science and engineering of Chittagong University of Engineering & Technology. His professional and research interests include Cybersecurity, AI/XAI-based Modeling, Machine/Deep Learning, Data Science and Behavioral Analytics, Data-Driven Decision-Making, Automation and Intelligent Systems, Digital Twin, IoT and Smart City Applications, Critical Infrastructure Security and Resilience. He has published 100+ Journal and Conference papers in various reputed venues published by Elsevier, Springer Nature, IEEE, ACM, Oxford University Press, etc. Moreover, he is a LEAD author of a research monograph BOOK titled "Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making", published by Springer Nature, Switzerland, 2021. He has also been listed in the world's TOP 2% of most-cited scientists in both categories [Career-long achievement & Single-year], published by Elsevier & Stanford University, USA. In addition to research work and publications, Dr. Sarker is also involved in a number of research engagement and leadership roles such as Journal editorial, international conference program committee (PC), student supervision, visiting scholar and national/international collaboration. He is a member of ACM, IEEE and Australian Information Security Association (AISA).

作者簡介(中文翻譯)

伊克巴爾·H·薩克爾博士於2018年在澳大利亞墨爾本的斯威本科技大學獲得計算機科學博士學位。目前，他在與澳大利亞埃迪斯科文大學安全研究所合作的網絡安全合作研究中心（CRC）擔任研究員，該合作包括CSIRO的Data61。在此之前，他曾擔任吉大港工程技術大學計算機科學與工程系的教職員。他的專業和研究興趣包括網絡安全、基於AI/XAI的建模、機器學習/深度學習、數據科學和行為分析、數據驅動的決策制定、自動化和智能系統、數位雙胞胎、物聯網和智慧城市應用、關鍵基礎設施的安全與韌性。他在各大知名期刊和會議上發表了100多篇論文，這些論文由Elsevier、Springer Nature、IEEE、ACM、牛津大學出版社等出版。此外，他是一本名為《情境感知機器學習與移動數據分析：基於智能決策的自動化規則服務》的研究專著的主筆，該書於2021年由瑞士Springer Nature出版。他還被列入全球前2%的最被引用科學家名單，涵蓋[職業生涯成就與單一年份]兩個類別，該名單由Elsevier和美國斯坦福大學發布。除了研究工作和出版物外，薩克爾博士還參與多項研究參與和領導角色，如期刊編輯、國際會議程序委員會（PC）、學生指導、訪問學者以及國內/國際合作。他是ACM、IEEE和澳大利亞信息安全協會（AISA）的成員。

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