DocumentCode
2732202
Title
Multiple Markov Models for Detecting Internet Anomalies from BGP Data
Author
Gardiner, Judith D.
Author_Institution
Ohio Supercomput. Center, Columbus, OH, USA
fYear
2009
fDate
15-18 June 2009
Firstpage
374
Lastpage
377
Abstract
This project explores a new mechanism for early detection of Internet disturbances, including both natural and malicious events. We used multiple hidden Markov models to analyze a type of global routing data called Border Gateway Protocol (BGP). Reasonably good discrimination was achieved between quiet periods and disturbances, and some discrimination was achieved between natural and malicious events. This project was exploratory in nature; no validation has been done on the results.
Keywords
Internet; Markov processes; computer network security; routing protocols; Internet anomaly detection; Markov models; border gateway protocol; Grippers; Hidden Markov models; IEEE news; Internet; Markov processes; Routing protocols; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
DoD High Performance Computing Modernization Program Users Group Conference (HPCMP-UGC), 2009
Conference_Location
San Diego, CA
Print_ISBN
978-1-4244-5768-7
Electronic_ISBN
978-1-4244-5769-4
Type
conf
DOI
10.1109/HPCMP-UGC.2009.61
Filename
5729492
Link To Document