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商品描述
Digital forensics plays a crucial role in identifying, analysing, and presenting cyber threats as evidence in a court of law. Artificial intelligence, particularly machine learning and deep learning, enables automation of the digital investigation process. This book provides an in-depth look at the fundamental and advanced methods in digital forensics. It also discusses how machine learning and deep learning algorithms can be used to detect and investigate cybercrimes.
This book demonstrates digital forensics and cyber-investigating techniques with real-world applications. It examines hard disk analytics and style architectures, including Master Boot Record and GUID Partition Table as part of the investigative process. It also covers cyberattack analysis in Windows, Linux, and network systems using virtual machines in real-world scenarios.
Digital Forensics in the Era of Artificial Intelligence will be helpful for those interested in digital forensics and using machine learning techniques in the investigation of cyberattacks and the detection of evidence in cybercrimes.
商品描述(中文翻譯)
數位鑑識在識別、分析和呈現網路威脅作為法庭證據方面扮演著至關重要的角色。人工智慧，特別是機器學習和深度學習，使數位調查過程的自動化成為可能。本書深入探討數位鑑識中的基本和進階方法，並討論如何利用機器學習和深度學習演算法來檢測和調查網路犯罪。
本書展示了數位鑑識和網路調查技術的實際應用。它檢視硬碟分析和風格架構，包括主啟動記錄（Master Boot Record）和全域唯一識別碼分割表（GUID Partition Table），作為調查過程的一部分。它還涵蓋了在真實情境中使用虛擬機進行的Windows、Linux和網路系統的網路攻擊分析。
《人工智慧時代的數位鑑識》將對那些對數位鑑識和在網路攻擊調查中使用機器學習技術感興趣的人士有所幫助。
作者簡介
Dr Nour Moustafa is currently Senior Lecturer and leader of Intelligent Security Group at the School of Engineering & Information Technology, University of New South Wales (UNSW Canberra), Australia. He is also Strategic Advisor (AI-SME) at the DXC Technology, Canberra, Australia. He was a Post-doctoral Fellow at UNSW Canberra from June 2017 to December 2018. He received his PhD degree in Computing from UNSW, Australia, in 2017. He obtained his Bachelor and Master degree in Computer Science in 2009 and 2014, respectively, from the Faculty of Computer and Information, Helwan University, Egypt. His areas of interest include Cyber Security, particularly network security, IoT security, intrusion detection systems, statistics, deep learning and machine learning techniques. He has several research grants from industry and defence sponsors, such as Australia's Cyber Security Cooperative Defence Centre, Australian Defence Science and Technology Group, and the Canadian Department of National Defence. He has been awarded the 2020 prestigious Australian Spitfire Memorial Defence Fellowship award. He is also a Senior IEEE Member, ACM Distinguished Speaker, and Spitfire Fellow. He has served his academic community as the guest associate editor of multiple journals, such as IEEE Transactions on Industrial Informatics, IEEE Systems, IEEE IoT Journal, IEEE Access, Ad Hoc Networks, and the Journal of Parallel and Distributed Computing. He has also served over seven leadership conferences, including as vice-chair, session chair, Technical Program Committee (TPC) member and proceedings chair, including for the 2020-2021 IEEE TrustCom and 2020 33rd Australasian Joint Conference on Artificial Intelligence.
作者簡介(中文翻譯)
努爾·穆斯塔法博士目前是澳洲新南威爾士大學（UNSW Canberra）工程與資訊科技學院的高級講師及智能安全小組的負責人。他同時也是位於澳洲堪培拉的DXC Technology的戰略顧問（AI-SME）。他於2017年6月至2018年12月期間擔任UNSW Canberra的博士後研究員。他於2017年在澳洲新南威爾士大學獲得計算機博士學位。他於2009年和2014年分別在埃及赫爾萬大學的計算機與資訊學院獲得計算機科學學士和碩士學位。他的研究興趣包括網路安全、物聯網安全、入侵檢測系統、統計學、深度學習和機器學習技術等網路安全領域。他獲得了來自行業和國防贊助商的多項研究資助，例如澳洲網路安全合作防禦中心、澳洲國防科學與技術組和加拿大國防部。他於2020年獲得了享有盛譽的澳洲斯比特火 Memorial 防禦獎學金。他也是IEEE高級會員、ACM傑出演講者及斯比特火研究員。他曾擔任多本期刊的客座副編輯，包括《IEEE 工業資訊學期刊》、《IEEE 系統期刊》、《IEEE 物聯網期刊》、《IEEE Access》、《Ad Hoc Networks》和《平行與分散計算期刊》。他還在七個以上的領導會議中擔任過職位，包括副主席、會議主席、技術程序委員會（TPC）成員及會議論文主席，其中包括2020-2021年的IEEE TrustCom和2020年第33屆澳大利亞人工智慧聯合會議。
