Digital Defence: Harnessing the Power of Artificial Intelligence for Cybersecurity and Digital Forensics
暫譯: 數位防衛：利用人工智慧強化網路安全與數位鑑識的力量
Kumar, Ahlad, Kumar Chaudhary, Naveen, Shastri, Apoorva S.
相關主題
商品描述
This book aims to provide a comprehensive overview of the applications of Artificial Intelligence (AI) in the area of Cybersecurity and Digital Forensics. The various chapters of this book are written to explore how cutting-edge technologies can be used to improve the detection, prevention, and investigation of cybercrime and help protect digital assets.
Digital Defence covers an overview of deep learning and AI techniques and their relevance to cybersecurity and digital forensics, discusses common cyber threats and vulnerabilities, and how deep learning and AI can detect and prevent them. It focuses on how deep learning/artificial learning techniques can be used for intrusion detection in networks and systems, analyze and classify malware, and identify potential sources of malware attacks. This book also explores AI's role in digital forensics investigations, including data recovery, incident response and management, real-time monitoring, automated response analysis, ethical and legal considerations, and visualization. By covering these topics, this book will provide a valuable resource for researchers, students, and cybersecurity and digital forensics professionals interested in learning about the latest advances in deep learning and AI techniques and their applications.
商品描述(中文翻譯)
本書旨在提供人工智慧（Artificial Intelligence, AI）在網路安全（Cybersecurity）和數位鑑識（Digital Forensics）領域應用的全面概述。本書的各個章節探討了如何利用尖端技術來改善網路犯罪的檢測、預防和調查，並幫助保護數位資產。
《數位防禦》（Digital Defence）涵蓋了深度學習（deep learning）和人工智慧技術的概述及其與網路安全和數位鑑識的相關性，討論了常見的網路威脅和漏洞，以及深度學習和人工智慧如何檢測和預防這些威脅。它專注於如何利用深度學習/人工學習技術進行網路和系統的入侵檢測，分析和分類惡意軟體，並識別潛在的惡意攻擊來源。本書還探討了人工智慧在數位鑑識調查中的角色，包括數據恢復、事件響應和管理、實時監控、自動化響應分析、倫理和法律考量，以及可視化。通過涵蓋這些主題，本書將為研究人員、學生以及對深度學習和人工智慧技術及其應用的最新進展感興趣的網路安全和數位鑑識專業人士提供寶貴的資源。
作者簡介
Ahlad Kumar is currently serving as an Assistant Professor at the National Forensic Sciences University (Institute of National Importance) (Under the Home Ministry), Gandhinagar. Dr. Kumar has several papers published in well-renowned journals, including those of IEEE. His areas of interest include machine learning, deep learning, reinforcement learning, and analog design.
Naveen Kumar Chaudhary is a distinguished Professor of Cyber Security and Dean at the National Forensic Sciences University, Gandhinagar, India. He also heads the Training and International Relations Department and serves as Director of the NFSU, Goa Campus. Dr. Chaudhary has been recently appointed as a Courtesy Research Professor at Florida International University, Miami, USA. He held several key roles in the Government of India, including Director at the Ministry of External Affairs. Dr. Chaudhary has made significant contributions to policy formulation, ICT projects, and cybersecurity education globally.
Apoorva S Shastri holds a PhD in Optimization Algorithms and Applications from Symbiosis International (Deemed University). Currently, she is a Research Assistant Professor at Institute of Artificial Intelligence at the Dr Vishwanath Karad MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete, and combinatorial optimization, complex systems, manufacturing, and self-organizing systems.
Mangal Singh is working as an Associate Professor, Electronics & Telecommunication Engineering at Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune. He has an experience of more than 23 years in the field of Teaching, Research and Administration. He is a Senior Member of IEEE and life member of the IETE and ISTE, India.
Anand J Kulkarni holds a PhD in Optimization from Nanyang Technological University, Singapore, MS in AI from University of Regina, Canada. He worked as Research Fellow at University of Windsor, Canada. He is the founder of OAT Research Lab and has published over 80 research papers along with 23 books.
作者簡介(中文翻譯)
Ahlad Kumar 目前擔任印度甘地納格的國家法醫科學大學（國家重要機構）（隸屬於內政部）的助理教授。Kumar 博士在多個知名期刊上發表了多篇論文，包括 IEEE 的期刊。他的研究興趣包括機器學習、深度學習、強化學習和類比設計。
Naveen Kumar Chaudhary 是印度甘地納格國家法醫科學大學的網路安全傑出教授及院長。他還負責培訓與國際關係部門，並擔任 NFSU 藏卡姆斯校區的主任。Chaudhary 博士最近被任命為美國邁阿密佛羅里達國際大學的名譽研究教授。他在印度政府中擔任過多個重要職位，包括外交部的主任。Chaudhary 博士在政策制定、資訊通信技術項目和全球網路安全教育方面做出了重要貢獻。
Apoorva S Shastri 擁有來自辛比歐西斯國際（被認定大學）的優化演算法及應用的博士學位。目前，她是印度浦那的 Dr Vishwanath Karad MITWPU 人工智慧研究助理教授。她的研究興趣包括優化演算法、VLSI 設計、多目標優化、連續、離散及組合優化、複雜系統、製造及自組織系統。
Mangal Singh 擔任辛比歐西斯國際（被認定大學）辛比歐西斯科技學院的電子與電信工程副教授。他在教學、研究和行政領域擁有超過 23 年的經驗。他是 IEEE 的資深會員，並且是印度 IETE 和 ISTE 的終身會員。
Anand J Kulkarni 擁有新加坡南洋理工大學的優化博士學位，加拿大雷吉納大學的人工智慧碩士學位。他曾在加拿大溫莎大學擔任研究員。他是 OAT 研究實驗室的創始人，並發表了超過 80 篇研究論文及 23 本書籍。
