A Security Model for Detecting Suspicious Patterns in Physical Environment
Simon Fong; Zhuang Yan
Conference NameThird International Symposium on Information Assurance and Security
Source PublicationProceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security
Conference Date29-31 Aug. 2007
Conference PlaceManchester, UK

In the view of escalating global threat in security, it is imperative to have an automated detection system that can pick up suspicious patterns of human movement in physical environments. It can give a forewarning before a planned attack happens or an ultimate security is breached. In the past, significant research on the Intrusion Detection was established, but limited to virtual environments like computer networks and operating systems. In this paper, we proposed a general security model for detecting suspicious patterns in physical environment. Suspicious patterns are subtle and we showed that they can be detected via an experiment.

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Document TypeConference paper
AffiliationFaculty of Science and Technology, University of Macau
First Author AffilicationFaculty of Science and Technology
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GB/T 7714
Simon Fong,Zhuang Yan. A Security Model for Detecting Suspicious Patterns in Physical Environment[C]:IEEE,2007:221-226.
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