DocumentCode
2449722
Title
Decision Support Procedure in the Insider Threat Domain
Author
Murphy, J.P. ; Berk, V.H. ; Gregorio-de Souza, I.
Author_Institution
Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH, USA
fYear
2012
fDate
24-25 May 2012
Firstpage
159
Lastpage
163
Abstract
Effective mitigation of the Insider Threat in complex organizations is not simply a matter of ´fire-and-forget´. Thorough routines are required to minimize the chances of malicious insiders going undetected. While detecting policy violations and signatures of known-bad behavior are essential to a broader threat mitigation strategy, it is clear that behavior-based measurements, including anomaly detection and social network analysis, will be crucial to detecting technically savvy malicious users with legitimate network and data access. Due to the large number of potentially malicious behaviors users may display, the main thrust of detection falls in the hands of an analyst capable of correlating these behaviors. Based on our BANDIT system, we offer a 10-step analyst program, which offers a common-sense approach to limiting the damage a malicious trusted user can achieve.
Keywords
decision support systems; security of data; social networking (online); BANDIT system; anomaly detection; behavior based measurements; complex organizations; decision support procedure; fire-and-forget matter; insider threat domain; malicious insiders; malicious users; policy violations; social network analysis; threat mitigation strategy; Context; Detectors; Documentation; Measurement; Organizations; Security; behavioral anomaly detection; insider threat; risk mitigation;
fLanguage
English
Publisher
ieee
Conference_Titel
Security and Privacy Workshops (SPW), 2012 IEEE Symposium on
Conference_Location
San Francisco, CA
Print_ISBN
978-1-4673-2157-0
Type
conf
DOI
10.1109/SPW.2012.17
Filename
6227700
Link To Document