Ai-Driven Cloud Forensics: Advanced Techniques for Next-Generation Digital Investigations
暫譯: AI 驅動的雲端鑑識：次世代數位調查的進階技術
Bhambri, Pankaj, Khan, Mudassir, Anand, A. Jose
- 出版商: CRC
- 出版日期: 2026-10-20
- 售價: $5,530
- 貴賓價: 9.5 折 $5,253
- 語言: 英文
- 頁數: 318
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041107161
- ISBN-13: 9781041107163
-
相關分類:
資訊安全、Machine Learning、雲端運算
尚未上市，無法訂購
商品描述
Cloud computing has revolutionized digital infrastructure, but it has also introduced complex forensic challenges that demand intelligent, scalable, and automated investigative solutions. AI Driven Cloud Forensics: Advanced Techniques for Next Generation Digital Investigations provides a comprehensive exploration of how artificial intelligence, machine learning, big data analytics, and automation are transforming the future of digital forensics in cloud environments. This edited volume examines advanced methodologies for forensic acquisition in virtual machines, containers, and ephemeral environments; intelligent cloud architectures for secure investigations; and AI-powered frameworks for anomaly detection, fraud investigation, phishing detection, and log analysis. It highlights emerging approaches such as AutoML-enabled forensic systems, federated learning for communication-efficient anomaly detection, AI-centric privileged access management, and real-time detection of data fabrication attacks in decentralized systems. Beyond core forensic technologies, the book addresses interdisciplinary applications across smart micro-grids, dark web environments, digital supply chains, tourism systems, and e-discovery processes. By integrating automation with forensic intelligence, the contributors demonstrate how next-generation digital investigations can become more proactive, predictive, and adaptive. Special emphasis is placed on addressing challenges such as data volatility, multi-tenancy, encryption, jurisdictional constraints, and large-scale log analysis in distributed cloud ecosystems. The book also includes a bibliometric and science-mapping analysis to provide insights into evolving research trends in AI-driven cloud forensic automation. Designed for researchers, cybersecurity professionals, forensic analysts, legal practitioners, cloud architects, and postgraduate students, this volume bridges theoretical foundations with real-world implementations. It serves as a forward-looking reference for building resilient, trustworthy, and AI-enabled forensic ecosystems capable of responding to increasingly sophisticated cyber threats. By combining innovation with investigative rigor, AI Driven Cloud Forensics contributes to shaping the next generation of intelligent digital security and forensic readiness in cloud-driven environments.
商品描述(中文翻譯)
AI 驅動的雲端鑑識：新世代數位調查的進階技術
雲端運算已徹底改變數位基礎架構，但也帶來複雜的鑑識挑戰，亟需智慧化、可擴展且自動化的調查解決方案。《AI 驅動的雲端鑑識：新世代數位調查的進階技術》全面探討人工智慧、機器學習、大數據分析與自動化，如何轉變雲端環境中數位鑑識的未來。
本書彙編探討虛擬機器、容器與短暫性環境中的進階鑑識取得方法；用於安全調查的智慧雲端架構；以及應用 AI 的異常偵測、詐欺調查、網路釣魚偵測與日誌分析框架。本書也介紹多項新興方法，包括啟用 AutoML 的鑑識系統、用於高通訊效率異常偵測的聯邦式學習、以 AI 為核心的特權存取管理，以及在去中心化系統中即時偵測資料偽造攻擊。
除了核心鑑識技術之外，本書也探討其在智慧微電網、暗網環境、數位供應鏈、旅遊系統與電子取證流程等領域的跨學科應用。透過將自動化與鑑識情報相結合，各章作者展示了新世代數位調查如何變得更主動、更具預測性與適應性。
本書特別著重於分散式雲端生態系統中的資料易變性、多租戶、加密、司法管轄限制，以及大規模日誌分析等挑戰。此外，本書還納入書目計量與科學映射分析，深入剖析 AI 驅動雲端鑑識自動化領域不斷演變的研究趨勢。
本書適合研究人員、資安專業人士、鑑識分析師、法律實務工作者、雲端架構師與研究生閱讀，並將理論基礎與實際應用相互銜接。它是一部具前瞻性的參考著作，協助讀者建構具韌性、可信賴且由 AI 支援的鑑識生態系統，以因應日益複雜的網路威脅。
透過結合創新與嚴謹的調查方法，《AI 驅動的雲端鑑識》致力於塑造雲端驅動環境中新一代的智慧數位安全與鑑識準備能力。
作者簡介
Dr. Pankaj Bhambri is an Associate Professor and Convener of the Board of Studies in the Department of Information Technology at Guru Nanak Dev Engineering College, Ludhiana, India. Recognized among the Top 2% of Scientists globally by Stanford University and Elsevier (2025), he has over twenty-one years of teaching and research experience. He earned his Ph.D. in Computer Science and Engineering from I.K.G. Punjab Technical University, Jalandhar. He is currently pursuing a Post Doctorate Fellowship from Lincoln University College, Malaysia.
His research interests span machine learning, bioinformatics, cloud computing, and IoT. Dr. Bhambri has an extensive publication record, with numerous papers in high-impact SCIE and Scopus-indexed journals. He is a prolific author and editor, having contributed to and edited over two dozen books with prestigious publishers like Springer, CRC Press (Taylor & Francis), Elsevier, and IGI Global. He serves as a reviewer and technical committee member for numerous international conferences. Dr. Bhambri has also filed several patents, including an Australian innovation patent. He actively guides multiple Ph.D. scholars in cutting-edge areas of computer science and engineering.
Dr. Mudassir Khan is currently working in the department of Computer Science at College of Science & Arts Tanumah, King Khalid University Abha Saudi Arabia. He has completed his Ph.D. in Computer Science from Noida International University Gautam Budh Nagar (NIU) India. He has completed his Graduation from Aligarh Muslim University, Aligarh and Masters from Gautam Budh Technical University, India. He has more than 12 years of Teaching Experience at the King Khalid University of Saudi Arabia. He has published more than 36 papers in International Journals (SCIE, ESCI, Web of Science, Scopus, Springer and IGI) and conferences (IEEE, Springer Series). He has also published multiple books and patents, too. He is the Member of various technical/ professional societies such as IEEE, UACEE, Internet Society, IAENG and CSTA. His research interest includes Big data, IoT, deep learning, Computer Security, Cyber Security and Cloud Computing.
Dr. A. Jose Anand is currently working as a Professor at, the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu. He has one year of industrial experience and twenty-four years of teaching experience. Has one year of experience as assistant staff for Halifax Regional Center for Education at Saint Mary's Elementary School, Halifax, Nova Scotia, Canada. He presented several papers at National Conferences and International Conferences. He published several papers in the National Journal and International Journal and also published books for polytechnic & engineering subjects. He is a Member of CSI, IEI, IET, IETE, ISTE, INS, QCFI and EWB. His current research interest is in Wireless Sensor Networks, Embedded Systems, IoT, Machine Learning and Image Processing, etc.
作者簡介(中文翻譯)
Pankaj Bhambri 博士是印度 Ludhiana 的 Guru Nanak Dev Engineering College 資訊科技系副教授，也是該系課程委員會（Board of Studies）召集人。2025 年，他獲 Stanford University 與 Elsevier 評選為全球排名前 2% 的科學家之一，並擁有超過 21 年的教學與研究經驗。他於 I.K.G. Punjab Technical University（Jalandhar）取得 Computer Science and Engineering 博士學位。目前，他正在 Malaysia 的 Lincoln University College 攻讀博士後研究員（Post Doctorate Fellowship）。
他的研究興趣涵蓋 machine learning、bioinformatics、cloud computing 與 IoT。Bhambri 博士發表成果豐碩，在多本高影響力的 SCIE 與 Scopus 收錄期刊上發表了大量論文。他也是多產的作者與編輯，曾與 Springer、CRC Press（Taylor & Francis）、Elsevier 及 IGI Global 等知名出版社合作，參與撰寫及編輯超過 20 本書籍。此外，他擔任許多國際會議的審稿人及技術委員會成員。Bhambri 博士也申請了多項專利，其中包括一項 Australian innovation patent。他目前積極指導多名 Ph.D. 學者，研究領域涵蓋 computer science and engineering 的前沿主題。
Mudassir Khan 博士目前任職於 Saudi Arabia Abha 的 King Khalid University，隸屬 College of Science & Arts Tanumah 的 Computer Science 系。他於印度 Noida International University Gautam Budh Nagar（NIU）取得 Computer Science 博士學位，並於 Aligarh Muslim University（Aligarh）完成大學學業，之後於印度 Gautam Budh Technical University 取得碩士學位。他在 Saudi Arabia 的 King Khalid University 擁有超過 12 年的教學經驗。他已在國際期刊（SCIE、ESCI、Web of Science、Scopus、Springer 及 IGI）與國際會議（IEEE、Springer Series）發表超過 36 篇論文。此外，他也出版了多本書籍並取得多項專利。他是多個技術及專業學會的會員，包括 IEEE、UACEE、Internet Society、IAENG 與 CSTA。他的研究興趣包括 Big data、IoT、deep learning、Computer Security、Cyber Security 與 Cloud Computing。
A. Jose Anand 博士目前任職於印度 Tamil Nadu 州 Chennai 的 KCG College of Technology，擔任 Electronics and Communication Engineering 系教授。他擁有 1 年的業界經驗及 24 年的教學經驗。此外，他曾在 Canada Nova Scotia 州 Halifax 的 Saint Mary's Elementary School 擔任 Halifax Regional Center for Education 的助理職員，累積 1 年工作經驗。他曾在多場國內及國際會議上發表論文，並於多本國內及國際期刊發表多篇論文，也曾為專科及工程學科出版書籍。他是 CSI、IEI、IET、IETE、ISTE、INS、QCFI 與 EWB 的會員。目前的研究興趣包括 Wireless Sensor Networks、Embedded Systems、IoT、Machine Learning 與 Image Processing 等。
