The issue of insider threat is one that organizations have dealt with for many years. Insider threat research began in the early 80's, but has yet to provide satisfactory results despite the fact that insiders pose a greater threat to organizations than external attackers. One of the key issues relating to this problem is that the amount of collectable data is enormous and it is currently impossible to analyze all of it, for each insider, in a timely manner. The purpose of this research is to analyze a portion of this collectable data, process usage, and determine if this data is useful in identifying insiders. Identification of the person controlling the workstation is useful in environments where workstations are left unattended, even for a short amount of time. To do this, we developed an insider threat detection system based on the Naive Bayes method which examines process usage data and creates individual profiles for users. By comparing collected data to these profiles we are able to determine who is controlling the workstation with high accuracy. We are able to achieve true positive rates of 96\% while maintaining fewer than 0.5\% false positives.
Identifer | oai:union.ndltd.org:NCSU/oai:NCSU:etd-05092008-154325 |
Date | 28 May 2008 |
Creators | McKinney, Steven |
Contributors | Dr. D. S. Reeves, Dr. J. Doyle, Dr. P. Ning |
Publisher | NCSU |
Source Sets | North Carolina State University |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | http://www.lib.ncsu.edu/theses/available/etd-05092008-154325/ |
Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
Page generated in 0.0029 seconds