Machine learning forensics for law enforcement, security, and intelligence /
Jesus Mena
- London ; CRC Press c2011
- xii, 337 p. : ill. ; 24 cm
CONTENTS
Chapter 1. What is machine learning forensics? Definition Digital maps and models: strategies and technologies Extractive forensics: Analysis and text mining etc...
Chapter 2. Digital investigative maps and models: strategies and techniques Forensic strategies Decompose the data Criminal data sets, reports, and networks etc...
Chapter 3. Extractive forensics: Link analysis and text mining Data extraction Link analysis Link analysis tools etc...
Chapter 5. Deductive forensics: anticipating attacks and precrime Artificial intelligence machine learning Decision trees Decision tree techniques etc...
Chapter 6. Fraud detection: on the web, wireless, and in real time Definition and techniques: where, who, and how The interviews: the owners, victims, and suspects The scene of the crime: search for digital evidence etc...
Chapter 7. Cybersecurity investigations: self-organizing and evolving analysis What is cybersecurity forensics? Cybersecurity and risk Machine learning forensics for cybersecurity etc..
Chapter 8. Corporate counterintelligence: litigation and competitive investigation Corporate counterintelligence Ratio, trending, and anomaly analysis E-mail investigations etc...
Includes index P. 307-337
9781439860694
Forensics Forensics technology Law enforcement Security and Intelligence