DocumentCode :
2940383
Title :
A Bayesian Game Approach for Preventing DoS Attacks in Wireless Sensor Networks
Author :
Mohi, Maryam ; Movaghar, Ali ; Zadeh, Pooya Moradian
Author_Institution :
Dept. of IT, Sharif Univ. of Technol., Kish
Volume :
3
fYear :
2009
fDate :
6-8 Jan. 2009
Firstpage :
507
Lastpage :
511
Abstract :
Wireless sensor networks (WSNs) are new technologies, foreseen to be used increasingly in the near future, and security is an important issue for them. However because of the nodes resource limitations, other schemes proposed for securing general ad hoc networks, are not appropriate for WSNs. Usually some nodes act maliciously and they are able to do different kinds of DoS attacks. In order to make the network more secure, malicious nodes should be isolated from the network. In this paper, we model the interaction of nodes in WSN and intrusion detection system (IDS) as a Bayesian game formulation and use this idea to make a secure routing protocol. By this approach nodes are motivated to act normally and gain reputation, and IDS can perform better by using the history of the game. As this game approaches to Nash equilibrium, it leads to a defense strategy for the network.
Keywords :
Bayes methods; ad hoc networks; game theory; routing protocols; security of data; telecommunication security; wireless sensor networks; Bayesian game approach; DoS attacks; Nash equilibrium; ad hoc networks; intrusion detection system; malicious nodes; network defense strategy; node interaction; secure routing protocol; wireless sensor networks; Ad hoc networks; Batteries; Bayesian methods; Computer crime; Cryptography; Intrusion detection; Monitoring; Protection; Routing protocols; Wireless sensor networks; Intrusion detection system; Security; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-0-7695-3501-2
Type :
conf
DOI :
10.1109/CMC.2009.325
Filename :
4797305
Link To Document :
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