000			a
999			_c32173 _d32173
008			230814b xxu||||| |||| 00| 0 eng d
020			_a9781032244686
082			_a363.252 _bMOU
100			_aMoustafa, Nour
245			_aDigital forensics in the Era of Artificial Intelligence
260			_bCRC Press, _c2022 _aBoca Raton :
300			_axix, 236 p. ; _bill., (b & w), _c24 cm
365			_b42.99 _cGBP _d108.40
504			_aIncludes bibliographical references and index.
520			_aDigital 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.
650			_aAutopsy tool
650			_a Boot sector
650			_aCriminal investigation
650			_aCyber kill chain
650			_aDigital investigation process
650			_aGUID partition table
650			_aInode
650			_aKali Linux
650			_aMachine learning
650			_aNTFS
650			_aPartition table
650			_aHard disk analysis
942			_2ddc _cBK