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Digital Forensics in the Era of Artificial Intelligence (Hardcover) Loot Price: R2,427
Discovery Miles 24 270
Digital Forensics in the Era of Artificial Intelligence (Hardcover): Nour Moustafa

Digital Forensics in the Era of Artificial Intelligence (Hardcover)

Nour Moustafa

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Loot Price R2,427 Discovery Miles 24 270 | Repayment Terms: R227 pm x 12*

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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.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Release date: June 2022
Authors: Nour Moustafa
Dimensions: 234 x 156 x 22mm (L x W x T)
Format: Hardcover
Pages: 236
ISBN-13: 978-1-03-224493-8
Categories: Books > Science & Mathematics > Science: general issues > Forensic science
Books > Computing & IT > Social & legal aspects of computing > Computer fraud & hacking
Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 1-03-224493-3
Barcode: 9781032244938

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