Machine learning forensics for law enforcement, security, and intelligence
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...
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| Format: | eBook |
| Language: | Inglés |
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Boca Raton, Fla. :
Taylor & Francis
2011.
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| Edition: | 1st edition |
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628416506719 |
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 InvestigationsBack Cover
