Ai-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability (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: 2024-04-29
  • 售價: $7,780
  • 貴賓價: 9.5 折 $7,391
  • 語言: 英文
  • 頁數: 200
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303154496X
  • ISBN-13: 9783031544965
  • 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)

本書探討了人工智慧（AI）技術與不斷演進的網絡安全挑戰和威脅情報的交叉點。將AI整合到網絡安全中，不僅提供了增強的防禦機制，還引入了一種範式轉變，展示了如何概念化、檢測和緩解網絡威脅。本書深入探討了基於AI的解決方案，包括機器學習算法、數據科學建模、生成式AI建模、威脅情報框架和可解釋AI（XAI）模型。作為利用AI/XAI保護數字生態系統免受不斷演變的網絡威脅的路線圖或全面指南，本書提供了洞察、建模、實際應用和研究問題。在這一過程中，作者們發現了創新、挑戰和機遇。它提供了對AI在保護數字世界中的轉型作用的整體觀點。

總的來說，使用AI可以改變人們對威脅的檢測、應對和防禦方式，實現主動威脅檢測、快速響應和適應性防禦機制。基於AI的網絡安全系統能夠快速分析大量數據集，識別指示惡意活動的模式，實時檢測威脅，並進行預測分析以實現主動解決方案。此外，AI增強了檢測異常、預測潛在威脅並迅速響應的能力，防止風險升級。隨著網絡威脅變得越來越多樣化和持續不斷，將AI/XAI納入網絡安全中不僅是一種選擇，而且是提高韌性和應對不斷變化的威脅的必要手段。

本書面向計算機科學高級學生作為輔助教材。研究人員和業界專業人士在各個領域工作，如網絡安全AI、可解釋和負責任AI、人工智能與人類協作、自動化和智能系統、適應性和強健安全系統、網絡安全數據科學和數據驅動的決策，也會發現本書作為參考書非常有用。

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)

Dr. Iqbal H. Sarker於2018年獲得澳洲墨爾本斯威本科技大學的計算機科學博士學位。目前他在澳洲的Cybersecurity Cooperative Research Centre (CRC)擔任研究員，與Security Research Institute以及Edith Cowan University合作，包括與CSIRO's Data61的學術-工業合作。在此之前，他還曾在Chittagong University of Engineering & Technology的計算機科學與工程系擔任教職。他的專業和研究興趣包括網絡安全、基於人工智能/可解釋人工智能的建模、機器學習/深度學習、數據科學和行為分析、數據驅動的決策、自動化和智能系統、數字孿生、物聯網和智慧城市應用、關鍵基礎設施安全和恢復力。他在Elsevier、Springer Nature、IEEE、ACM、Oxford University Press等多個知名出版社發表了100多篇期刊和會議論文。此外，他還是一本名為《Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making》的研究專著的主要作者，該書由Springer Nature於2021年出版。他還被Elsevier和美國斯坦福大學公布的全球最具引用的科學家（包括職業生涯成就和單年）中列為前2%。除了研究工作和出版物外，Sarker博士還參與了許多研究交流和領導角色，如期刊編輯、國際會議程序委員會（PC）、學生指導、訪問學者和國際合作。他是ACM、IEEE和澳大利亞信息安全協會（AISA）的成員。

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