• Version
• Download 238
• File Size 583.14 KB
• File Count 1
• Create Date August 27, 2014
• Last Updated April 19, 2022

MACHINE LEARNING FORENSICS FOR LAW ENFORCEMENT, SECURITY AND INTELLIGENCE

Machine Learning Forensics for Law Enforcement, Security and Intelligence

By Jesus Mena

Publisher: CRC Press

June 2011

https://www.crcpress.com/product/isbn/9781439860694

50% DISCOUNT for Hakin9 SUBSCRIBERS!!!

To save 50% enter given below discount code, during checkout at www.crcpress.com.

Discount code: 392DP

Description

The book is a practical guide on how to conduct forensic investigations using self-organizing clustering map (SOM) neural networks, text extraction, and rule generating software to “interrogate the evidence.” This powerful data is indispensable for fraud detection, cybersecurity, competitive counterintelligence, and corporate and litigation investigations. The book also provides step-by-step instructions on how to construct adaptive criminal and fraud detection systems for organizations.

Internet activity, email, and wireless communications can be captured, modeled, and deployed in order to anticipate potential cyber attacks and other types of crimes. The successful prediction of human reactions and server actions by quantifying their behaviors is invaluable for pre-empting criminal activity. This volume assists chief information officers, law enforcement personnel, legal and IT professionals, investigators, and competitive intelligence analysts in the strategic planning needed to recognize the patterns of criminal activities in order to predict when and where crimes and intrusions are likely to take place.

Attached Files