Digital Forensics plays a crucial role in identifying, analyzing and presenting cyber threats as evidence in a court of law. Artificial Intelligence (AI), 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. The book demonstrates digital forensics and cyber investigating techniques with real-world applications. It examines hard disk analytics and style architectures, including Master Boot Record (MBR) and Guide Partition Table (GBT) as part of the investigative process. It also covers cyber-attack analysis in Windows, Linux and network systems using virtual machines in real-world scenarios. This book 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.

Book Information
ISBN 9781032244938
Author Nour Moustafa
Format Hardback
Page Count 168
Imprint Taylor & Francis Ltd
Publisher Taylor & Francis Ltd
Weight(grams) 156g