- 349 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Machine Learning Forensics for Law Enforcement, Security, and Intelligence
About this book
Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Machine Learning Forensics for Law Enforcement, Security, and Intelligence by Jesus Mena in PDF and/or ePUB format, as well as other popular books in Computer Science & Cyber Security. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Contents
- Introduction
- The Author
- Chapter 1: What Is Machine Learning Forensics?
- Chapter 2: Digital Investigative Maps and Models : Strategies and Techniques
- Chapter 3: Extractive Forensics : Link Analysis and Text Mining
- Chapter 4: Inductive Forensics : Clustering Incidents and Crimes
- Chapter 5: Deductive Forensics : Anticipating Attacks and Precrime
- Chapter 6: Fraud Detection : On the Web, Wireless, and in Real Time
- Chapter 7: Cybersecurity Investigations : Self-Organizing and Evolving Analyses
- Chapter 8: Corporate Counterintelligence : Litigation and Competitive Investigations
- Back Cover