DocumentCode :
3402572
Title :
A combined discriminative and generative behavior model for cyber physical system defense
Author :
McCusker, Owen ; Brunza, Scott ; Dasgupta, Dipankar ; Carvalho, Marco ; Vora, Sujal
Author_Institution :
Guardian Services, Sonalysts, Inc., Waterford, CT, USA
fYear :
2013
fDate :
13-15 Aug. 2013
Firstpage :
144
Lastpage :
149
Abstract :
In this position paper we explore the use of behavior models as an enabling methodology in the promotion of a more holistic understanding of CPS that can bridge both cyber and physical domains. Thus, we investigate the use of aggregate behavior analysis techniques combined in both cyber and physical domains. Ultimately, our work focuses on the development of a cyber-physical behavior model that leverages behavior aggregation promoting the creation of a long-view sense-making capability driven by both cyber and physical observations. We look to the use of this approach to establish the ability to anticipate malicious activity in CPS, rather that react.
Keywords :
health care; security of data; ubiquitous computing; CPS; aggregate behavior analysis techniques; cyber observations; cyber physical system defense; cyber-physical behavior model; generative behavior model; long-view sense-making capability; malicious activity; pervasive healthcare monitoring systems; physical observations; Aggregates; Computational modeling; Context modeling; Data models; Medical services; Prognostics and health management; Safety; Behavior model; aggregate behaviors; behavior graphs; cyber physical; healthcare; machine learning; patient safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Resilient Control Systems (ISRCS), 2013 6th International Symposium on
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1109/ISRCS.2013.6623767
Filename :
6623767
Link To Document :
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