This collection of Book excerpts explores the use of artificial intelligence, particularly machine learning and deep learning, in digital forensics. It examines the fundamental principles and advanced techniques used to identify, analyze, and present evidence of cyber threats in a court of law. The Book also discusses the challenges and opportunities that AI presents for digital forensics, including the potential to automate the investigation process and improve the efficiency of analyzing vast quantities of data. Examples are provided using real datasets and Python code to demonstrate how machine learning can be applied to practical digital forensics challenges such as intrusion and attack detection.
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