DocumentCode :
2992462
Title :
Intrusion Detection Model Based on Hierarchical Structure in Wireless Sensor Networks
Author :
Li, Lei ; Li, Yan-hui ; Fu, Dong-yang ; Ming Wan
Author_Institution :
Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
2816
Lastpage :
2819
Abstract :
In this paper, presents a intrusion detection model based on hierarchical structure in wireless sensor network. The model structure is simple and improves the security of wireless sensor networks; this model uses a multi-node with the idea of joint collaboration, intrusion detection nodes with anomaly detection algorithm. It shows through experiments with real data that the algorithm can lower the power consumption. This paper first analyzed the main features of the wireless sensor network; then set forth the most common intrusion detection architectures of wireless sensor network; as well as p resented their advantages and disadvantages in detail. And have studied the application of sensor networks to the intrusion detection problem and the related problems. Finally, the paper addressed some valuable directions for further research.
Keywords :
security of data; telecommunication security; wireless sensor networks; anomaly detection algorithm; intrusion detection architectures; power consumption; wireless sensor network security; Hidden Markov models; Immune system; Intrusion detection; Markov processes; Monitoring; Wireless sensor networks; intrusion detection; security; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.688
Filename :
5630494
Link To Document :
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