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| A Simple Agent Based Model for Detecting Abnormal Event Patterns in a Distributed Wireless Sensor Networks
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Source |
International Journal of Computer Science and Security (IJCSS) |
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Table of Contents |
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Complete Issue PDF(4.93MB) |
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Volume: 4 Issue: 6 |
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Pages: 497-610 |
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Publication
Date: January / February |
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ISSN
(Online): 1985-1553 |
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Pages |
580 - 588 |
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Author(s) |
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Published
Date |
08-02-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Wireless Sensor Network, Distributed data mining, Machine learning, Anomaly detection |
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| 2. Bielefeld Academic Search Engine (BASE) |
| 3. Directory of Open Access Journals (DOAJ) |
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| 6. Academic Journals Database |
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| Wireless Sensor networks (WSN) is a promising technology for current as well as future. There is vast use of WSN in different fields like military surveillance and target tracking, traffic management, weather forecasting, habitat monitoring, designing smart home, structural and seismic monitoring, etc. For success application of ubiquitous WSN it is important to maintain the basic security, both from external and internal attacks else entire network may collapse. Maintaining security in WSN network is not a simple job just like securing wireless networks because sensor nodes are deployed in randomize manner. Hence major challenges in WSN are security. In this paper we have discussed different attacks in WSN and how these attacks are efficiently detected by using our agent based mode. Our model identifies the abnormal event pattern sensor nodes in a largely deployed distributed sensor network under a common anomaly detection framework which will design by agent based learning and distributed data mining technique. |
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G. Sladic, M. Vidakovic and Z. Konjovic, “Agent Based System for Network Availability and Vulnerability Monitoring”, in Proceedings of Intelligent Systems and Informatics (SISY), 2011 IEEE 9th International Symposium, Subotica, 8-10 Sept. 2011, pp. 53 – 58.
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| Muktikanta Sa : Colleagues
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| Manas Ranjan Nayak : Colleagues
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| Smiya Kumar Rath : Colleagues
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