Smart card-based irregular access patterns detection system

Leong, A.; Fong, Simon; Si, Yain-Whar

doi:10.1109/eee.2004.1287363

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…These works although in a somewhat early stage, have shed some light on modeling user behavior especially the abnormal ones in a physical environment. For instance, [3] defined a real-time detection model for inspecting irregular access patterns of users movements.…”

Section: Introductionmentioning

confidence: 99%

“…However relatively little work is on intrusion detection in physical environment. Some pioneers are [3] and [4] who developed logical models for detecting suspicious patterns in contact-based smart cards and contactless RFID cards in physical access environments respectively. Tamas in [5] developed profiles that describe user behavior in Computer Forensic investigations.…”

Section: Introductionmentioning

confidence: 99%

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A Security Model for Detecting Suspicious Patterns in Physical Environment

Aljnidi

Leneutre

2007

Third International Symposium on Information Assurance and Security

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%