Six Years after Its Passage, What Has Been the Impact of the Clinger-Cohen Act on the U.S. Air Force
Date of Award
3-2002
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Systems Engineering and Management
First Advisor
Alan R. Heminger, PhD
Abstract
Information systems are often inundated with thousands of attack alerts to distinguish novice hacker probes from genuine threats. Pattern classification can help filter relatively benign attacks from alerts generated by anomaly detectors, limited the numbers of alerts to requiring attention. This research investigates the feasibility of using pattern classification algorithms on network packed header information to classify network attacks. Both liner discrimination and radial basis function algorithms are trained using flood and scan attacks. The classifiers are then tested with unknown floods and scans to determine how well they categorize previously unseen attacks.
AFIT Designator
AFIT-GIR-ENV-02M-01
DTIC Accession Number
ADA400555
Recommended Citation
Drollette, Edward H., "Six Years after Its Passage, What Has Been the Impact of the Clinger-Cohen Act on the U.S. Air Force" (2002). Theses and Dissertations. 4472.
https://scholar.afit.edu/etd/4472