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.