Date of Award
2012
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
School of Computer Science and Engineering
First Advisor
Schubert, Keith Evan
Second Advisor
Gomez, Ernesto
Third Advisor
Botting, Richard
Abstract
This research focused on spreading packed load in increase throughput, rather than the analysis of the packets themselves. Using singular value decomposition to examine the binary structure of the individual packets, it is possible to perform frequency analysis to identify and classify data, thereby potentially allowing for a new type of paradigm for malicious packet/data identification.
Recommended Citation
Santoro, Marc Leonard, "Linear analysis of binary data as an aid to anomaly detection" (2012). Theses Digitization Project. 4259.
https://scholarworks.lib.csusb.edu/etd-project/4259
