Increasingly crimes and fraud are digital in nature occurring with real time velocity and at vast volumes.
This book is a guide on how to conduct forensic investigations using machine learning software and how
to construct adaptive criminal and fraud detection systems.
1. What is Machine Learning Forensics?
2. Digital Investigative
Maps and Models: Strategies and Techniques
3. Extractive Forensics: Link Analysis and Text Mining
4. Inductive
Forensics: Clustering Incidents and Crimes
5. Deductive Forensics: Anticipating Attacks and Pre-Crime
6.
Fraud Detection: On the Web, Wireless and in Real-Time
7. Cybersecurity Investigations: Self-organizing and Evolving
Analyzes
8. Corporate Counterintelligence: Litigation and Competitive Investigations