DocumentCode :
2994091
Title :
Extending situation modeling with inference of plausible future cyber situations
Author :
Jakobson, Gabriel
Author_Institution :
Altusys Corp., USA
fYear :
2011
fDate :
22-24 Feb. 2011
Firstpage :
48
Lastpage :
55
Abstract :
Cyber attacks committed against networks and software assets (operating systems, applications, and data repositories) have profound impact both on ongoing and future missions that use IT services offered by the networks. The attacks by exploiting the vulnerabilities of the software assets can push their impact through the cyber terrain - the cyber dependency network of structural, spatial, functional and other domain-specific dependencies that exist among the software assets and services, and reach the missions. In this paper we will describe a novel approach of inferring plausible future cyber security situations. We will describe the basic models and algorithms of the approach including, fuzzy temporal situations, the principle of plausible future situations, cyber terrain and impact dependency graph.
Keywords :
inference mechanisms; security of data; Cyber attacks; Cyber security; Cyber terrain; IT services; fuzzy temporal situations; impact dependency graph; inference; plausible future Cyber; situation modeling; software assets; Biological system modeling; Computer security; Context; Hardware; Prediction algorithms; Semantics; Software; cyber security; cyber terrain; impact dependency graph; plausible future situations; temporal fuzzy situations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2011 IEEE First International Multi-Disciplinary Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
978-1-61284-785-6
Type :
conf
DOI :
10.1109/COGSIMA.2011.5753753
Filename :
5753753
Link To Document :
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