AI for Cybersecurity and Digital Forensics
暫譯: AI 在資安與數位鑑識中的應用

Chavhan, Suresh, Gupta, Deepak, Sravanthi Valiveti, Sesha Sai

AI for Cybersecurity and Digital Forensics
  • 出版商: CRC
  • 出版日期: 2026-11-30
  • 售價: $6,060
  • 貴賓價: 9.5 折 $5,757
  • 語言: 英文
  • 頁數: 268
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041252307
  • ISBN-13: 9781041252306
  • 相關分類: 駭客 Hack、Machine Learning、DeepLearning

    • 尚未上市，無法訂購

商品描述

This book provides a detailed cutting-edge technique of Artificial intelligence (AI) that transforms the forensic and security landscape. It is organised into five parts: basic foundational principles, AI techniques for cybersecurity, AI in digital forensic, realworld cybercrime applications; and challenges, ethics, and future directions.

AI for Cybersecurity and Digital Forensics presents a structured and in-depth journey from the foundational concepts, technologies, and applications of AI in building resilient, intelligent, and trustworthy security systems. This book bridges theory, technology, and real-time practice for beginners to modern practitioners. It covers key topics including AI, Machine Learning, Deep Learning for threat detection, Large Language Models (LLMs) for phishing and threat intelligence, and Reinforcement Learning (RL) for adaptive cyber defence mechanism. It also explores the necessity of deep learning and natural language processing to malware detection, intrusions identification, logs analysis, and digital crimes investigations with unprecedented speed and accuracy. The chapters provide the implementation details to address governance, privacy, ethics, and the looming challenges of post- quantum cryptography. Through case studies, readers will gain foundational, practical, and futuristic knowledge and actionable insights to enhance cybersecurity operations, perform AI- empowered digital investigations, and develop intelligent systems that are resilient against evolving attacks.

This book is written for both beginners and advanced students working in the area of AI and cybersecurity. Also, it will be useful to policymakers, industry professionals, academics, and researchers in industries who make their prime contributions to the cybersecurity and digital forensics sectors.

商品描述(中文翻譯)

本書詳細介紹能夠改變數位鑑識與資安領域面貌的尖端人工智慧（Artificial Intelligence, AI）技術。全書分為五個部分：基礎原理、用於網路安全的 AI 技術、數位鑑識中的 AI、真實世界的網路犯罪應用，以及挑戰、倫理與未來發展方向。

《AI for Cybersecurity and Digital Forensics》以有系統且深入的方式，帶領讀者從 AI 的基礎概念、技術與應用出發，了解如何建構具韌性、智慧化且值得信賴的安全系統。本書連結理論、技術與即時實務，適合初學者及現代資安實務工作者閱讀。內容涵蓋多項關鍵主題，包括 AI、Machine Learning、用於威脅偵測的 Deep Learning、用於釣魚攻擊與威脅情報的 Large Language Models（LLMs），以及用於自適應網路防禦機制的 Reinforcement Learning（RL）。

本書也探討 Deep Learning 與自然語言處理（Natural Language Processing, NLP）在惡意軟體偵測、入侵識別、日誌分析及數位犯罪調查中的必要性，展現其前所未有的速度與準確度。各章提供實作細節，協助讀者因應治理、隱私、倫理，以及後量子密碼學（post-quantum cryptography）日益迫近的挑戰。

透過案例研究，讀者將獲得基礎、實務與前瞻性的知識，以及可付諸行動的洞見，以強化網路安全作業、執行 AI 賦能的數位調查，並開發能抵禦不斷演變攻擊的智慧型韌性系統。

本書適合從事 AI 與網路安全領域的初學者及進階學生閱讀。此外，也適合政策制定者、產業專業人士、學術界人士，以及在網路安全與數位鑑識領域貢獻所長的研究人員參考。

作者簡介

Suresh Chavhan is Assistant Professor in the School of Data Science at the Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, India. Before this, he served as an assistant professor at IIIT Raichur, Karnataka; IIIT Kottayam, Kerala; and VIT Vellore, Tamil Nadu. His research interests include AI-assisted B5G/ 6G wireless communication and networking, network slicing, AI/ ML/ deep and federated learning, edge intelligence, V2X, drone communication systems, next- generation intelligent transportation systems, edge/ fog/ cloud computing, and real- time intelligent systems.

Deepak Gupta received his BTech degree in 2006 from Guru Gobind Singh Indraprastha University, Delhi, India. He received his ME degree in 2010 from Delhi Technological University, India, and PhD degree in 2017 from Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow, India.

Sesha Sai Sravanthi Valiveti is an independent researcher based in Dallas, Texas, with over eight years of experience in software engineering, cloud- native architectures, and artificial intelligence (AI), working from web security frameworks to modernising large- scale applications. Through her work, she demonstrates how AI and scalable cloud technologies help close security gaps, strengthen system dependability, and aid forensic analysis in challenging settings. As an editor of AI for Cybersecurity and Digital Forensics, she brings expertise in bridging AI- driven innovation with the evolving demands of cybersecurity and investigative practices.

Sai Raghavendra Varanasi has extensive experience coordinating release cycles, managing change processes, and guiding large migration initiatives across on premises and cloud platforms with 14 years in software change and release management. He integrates DevOps automation, predictive analytics, and intelligent workflows to streamline deployments, strengthen reliability, and reduce operational risks. A key focus of his work is embedding security into release management, ensuring that systems remain compliant, resilient, and protected throughout the software lifecycle. As an editor of AI for Cybersecurity and Digital Forensics, he applies this background to explore how secure release engineering, automation, and AI can reinforce system security and resilience.

Sarada Prasad Gochhayat received his BTech degree in ECE from ITER, SOA University, Bhubaneswar, MTech degree in Signal Processing from the Indian Institute of Technology (IIT) Guwahati, and PhD degree in Communication Engineering from the Indian Institute of Science, Bengaluru. He has past working experience as a faculty member at Villanova University, Villanova, PA, USA; Old Dominion University, Norfolk, VA, USA; Manipal University, India; and CGU, Bhubaneswar, India; and a postdoctoral research experience at the University of Padua, Italy; and the Virginia Modeling, Analysis, and Simulation Center, Suffolk, VA, USA. He is currently an assistant professor at the Indian Institute of Technology, Jammu, India. His research interests include blockchain, privacy in cloud computing, privacy- preserving data analytics, security and privacy in health- care systems, and security in the Internet of Things (IoT) and 5G networks.

作者簡介(中文翻譯)

Suresh Chavhan 是印度蒂魯凡得琅 Indian Institute of Science Education and Research（IISER）資料科學學院的助理教授。在此之前，他曾任職於 Karnataka 的 IIIT Raichur、Kerala 的 IIIT Kottayam，以及 Tamil Nadu 的 VIT Vellore，擔任助理教授。他的研究興趣包括 AI 輔助的 B5G/6G 無線通訊與網路、網路切片、AI/ML/深度學習與聯邦學習、邊緣智慧、V2X、無人機通訊系統、次世代智慧交通系統、邊緣／霧端／雲端運算，以及即時智慧系統。

Deepak Gupta 於 2006 年取得印度德里的 Guru Gobind Singh Indraprastha University BTech 學位。2010 年，他取得印度 Delhi Technological University 的 ME 學位，並於 2017 年取得印度勒克瑙 Dr. APJ Abdul Kalam Technical University（AKTU）的 PhD 學位。

Sesha Sai Sravanthi Valiveti 是一名居住於美國德州 Dallas 的獨立研究人員，擁有超過八年的軟體工程、雲原生架構與人工智慧（AI）經驗，工作範圍涵蓋網頁安全框架到大型應用程式現代化。透過她的工作，她展示了 AI 與可擴充雲端技術如何協助彌補安全漏洞、提升系統可靠性，並支援複雜環境中的鑑識分析。作為《AI for Cybersecurity and Digital Forensics》一書的編輯，她專注於將 AI 驅動的創新與不斷演進的資安及調查實務需求相互結合。

Sai Raghavendra Varanasi 在軟體變更與版本管理領域擁有 14 年經驗，長期負責協調版本發布週期、管理變更流程，以及引導跨越地端與雲端平台的大型遷移計畫。他整合 DevOps 自動化、預測分析與智慧工作流程，以簡化部署流程、提升可靠性並降低營運風險。他的工作重點之一，是將安全性嵌入版本管理流程，確保系統在整個軟體生命週期中持續符合規範、具備韌性並受到保護。作為《AI for Cybersecurity and Digital Forensics》一書的編輯，他運用這些經驗探討安全版本工程、自動化與 AI 如何強化系統安全性與韌性。

Sarada Prasad Gochhayat 取得 ITER、SOA University（Bhubaneswar）的 ECE BTech 學位、Indian Institute of Technology（IIT）Guwahati 的訊號處理 MTech 學位，以及 Indian Institute of Science（Bengaluru）的通訊工程 PhD 學位。他過去曾在美國賓夕法尼亞州 Villanova 的 Villanova University、美國維吉尼亞州 Norfolk 的 Old Dominion University、印度的 Manipal University，以及印度 Bhubaneswar 的 CGU 擔任教職；此外，也曾於義大利 University of Padua，以及美國維吉尼亞州 Suffolk 的 Virginia Modeling, Analysis, and Simulation Center 從事博士後研究。目前，他是印度 Jammu 的 Indian Institute of Technology 助理教授。他的研究興趣包括區塊鏈、雲端運算中的隱私、隱私保護資料分析、醫療保健系統的安全性與隱私，以及物聯網（IoT）與 5G 網路的安全性。

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