A Dynamic Intrusion Detection System for Cluster-based Wireless Sensor Networks

HE Jing-sha; XING Li; ZHANG Ting; LI Guo-rui

Journal of Beijing University of Technology > 2010 > 36(6): 845-849.

HE Jing-sha, XING Li, ZHANG Ting, LI Guo-rui. A Dynamic Intrusion Detection System for Cluster-based Wireless Sensor Networks[J]. Journal of Beijing University of Technology, 2010, 36(6): 845-849.

Citation:

HE Jing-sha, XING Li, ZHANG Ting, LI Guo-rui. A Dynamic Intrusion Detection System for Cluster-based Wireless Sensor Networks[J]. Journal of Beijing University of Technology, 2010, 36(6): 845-849.

Citation:

HE Jing-sha, XING Li, ZHANG Ting, LI Guo-rui. A Dynamic Intrusion Detection System for Cluster-based Wireless Sensor Networks[J]. Journal of Beijing University of Technology, 2010, 36(6): 845-849.

PDF (415 KB)

A Dynamic Intrusion Detection System for Cluster-based Wireless Sensor Networks

1. School of Software Engineering, Beijing University of Technology, Beijing 100124, China;
2. College of Computer Science, Beijing University of Technology, Beijing 100124, China

More Information

Received Date: November 27, 2008
Available Online: December 14, 2022

Graphical Abstract

Abstract

Abstract

The authors propose a novel dynamic intrusion detection scheme for cluster-based wireless sensor network to find the intrusion in the network.Multiple attributes of the sensor nodes are taken into consideration in our scheme.Our scheme sets different detection parameters for different clusters and different time.Our algorithm adjusts the parameters dynamiclly and improves the accuracy and the false alarm.
- wireless sensor networks,
- security systems,
- intrusion detection,
- dynamic models

FullText(HTML)

References (8)

References

[1]	WOOD A D, STANKOVIC J A. Denial of service in sensor networks[J]. IEEE Computer Soc, 2002, 35 (10) : 54-62.
[2]	KARLOF C, WAGNER D.Secure routing in wireless sensor networks:attacks and countermeasures[C]∥The 1stInternational Workshop on Sensor Network Protocols and Applications.Anchorage:IEEE, 2003:113-127.
[3]	DOUMITS S, AGRAWAL D P.Self-organized criticality&stochastic learning based intrusion detection system for wirelesssensor network[C]∥2003 IEEE Military Communications Conference.Boston:Institute of Electrical and ElectronicsEngineers Inc, 2003:609-614.
[4]	SU W T, CHANG K M, KUO Y H. eHIP: an energy-efficient hybrid intrusion prohibition system for cluster-based wireless sensor networks[J]. Computer Networks, 2007, 51 (4) : 1151-1168.
[5]	AGAHA, DAS S K, BASU K, et al.Intrusion detection in sensor networks:a non-cooperative game approach[C]∥ThirdIEEE International Symposium on Network Computing and Applications.Los Alamitos:IEEE Computer Soc, 2004:343-346.
[6]	NGAI E C H, LIU J C, LYU M R. An efficient intruder detection algorithm against sinkhole attacks in wireless sensor networks[J]. Computer Communications, 2007, 30 (11/12) : 2353-2364.
[7]	LIU F, CHENG X, CHEN D C.Insider attacker detection in wireless sensor networks[C]∥IEEE INFOCOM 2007.Piscataway:IEEE, 2007:1936-1944.
[8]	MARONNA R A, MARTIN R D, YOHAI V J. Robust statistics: theory and methods[M]. New York: John Wiley & Sons, 2006: 175-227.

Cited By

Get Citation

PDF

XML

Article views (20) PDF downloads (8)

Turn off MathJax

Article Contents

Abstract

References

A Dynamic Intrusion Detection System for Cluster-based Wireless Sensor Networks

Abstract

References

Catalog

Export File

Citation

Format

Content