NDLI: Self-organized criticality and stochastic learning based intrusion detection system for wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Doumit, S.S. Agrawal, D.P.
Copyright Year	2003
Description	Author affiliation: OBR Center for Distributed & Mobile Comput., Cincinnati Univ., OH, USA (Doumit, S.S.; Agrawal, D.P.)
Abstract	In a constant search for efficient security control and intrusion detection systems (IDS), the ultimate goal in designing protocols remains less resource consumption while possessing broad coverage and wider applicability. Wireless sensors have become an excellent tool for military applications involving intrusion detection, perimeter monitoring, information gathering and smart logistics support in an unknown deployed area. Since sensor networks are resource-constrained devices, their design needs to minimize efforts without compromising the task's integrity. For this purpose, we propose a novel approach for an intrusion detection based on the structure of naturally occurring events. With the acquired knowledge distilled from the self-organized criticality aspect of the deployment region, we apply a hidden Markov model. In other words, we let our sensor network adapt to the norm of the dynamics in its natural surroundings so that any unusual activities can be singled out. Our IDS is simple to employ, requires minimal processing and data storage. Experimental scenarios are presented as verification of its functionality and practicality.
Starting Page	609
Ending Page	614
File Size	455227
Page Count	6
File Format	PDF
ISBN	0780381408
DOI	10.1109/MILCOM.2003.1290173
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic systems Intrusion detection Wireless sensor networks Intelligent sensors Information security Control systems Protocols Communication system security Monitoring Logistics
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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