Accession Number:

ADA532714

Title:

Data-Based Detection of Potential Terrorist Attacks: Statistical and Graphical Methods

Descriptive Note:

Final rept. 1 Sep 2005-31 Dec 2007

Corporate Author:

COLORADO UNIV AT DENVER DEPT OF MATHEMATICS

Personal Author(s):

• Kafadar, Karen

Report Date:

2010-06-01

Pagination or Media Count:

31.0

Abstract:

This report describes results of research contained in published papers and technical reports on statistical methods in the identification of rare events such as those that arise in terrorist attacks. Because data for national security operations are highly classified, techniques are developed on massive data containing rare events that arise in particle physics, internet communications, and genomics. Results include a useful graphical displays b conditioning high-dimensional data c penalized regression estimators to filter out irrelevant variables.

Descriptors:

• *STATISTICAL PROCESSES
• *TERRORISTS
• *DETECTION
• ATTACK
• DISPLAY SYSTEMS
• FORENSIC ANALYSIS
• IDENTIFICATION
• GRAPHICS
• ELECTRONIC SECURITY
• COUNTERTERRORISM
• CYBERTERRORISM
• LITERATURE SURVEYS
• COMMUNICATIONS TRAFFIC
• DATA BASES
• REGRESSION ANALYSIS

Subject Categories:

• Statistics and Probability
• Unconventional Warfare
• Miscellaneous Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE