DocumentCode
2451235
Title
Terrain and behavior modeling for projecting multistage cyber attacks
Author
Fava, Daniel ; Holsopple, Jared ; Yang, Shanchieh Jay ; Argauer, Brian
Author_Institution
Rochester Inst. of Technol., Rochester
fYear
2007
fDate
9-12 July 2007
Firstpage
1
Lastpage
7
Abstract
Contributions from the information fusion community have enabled comprehensible traces of intrusion alerts occurring on computer networks. Traced or tracked cyber attacks are the bases for threat projection in this work. Due to its complexity, we separate threat projection into two sub-tasks: predicting likely next targets and predicting attacker behavior. A virtual cyber terrain is proposed for identifying likely targets. Overlaying traced alerts onto the cyber terrain reveals exposed vulnerabilities, services, and hosts. Meanwhile, a novel attempt to extract cyber attack behavior is discussed. Leveraging traditional work on prediction and compression, this work identities behavior patterns from traced cyber attack data. The extracted behavior patterns are expected to further refine projections deduced from the cyber terrain.
Keywords
computer networks; security of data; computer networks; intrusion alerts; multistage cyber attacks; virtual cyber terrain; Bayesian methods; Computer networks; Computer security; Data mining; Filtering; Hidden Markov models; Intrusion detection; Monitoring; Reconnaissance; Target tracking; contextual reasoning; cyber security; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2007 10th International Conference on
Conference_Location
Quebec, Que.
Print_ISBN
978-0-662-45804-3
Electronic_ISBN
978-0-662-45804-3
Type
conf
DOI
10.1109/ICIF.2007.4408131
Filename
4408131
Link To Document