DocumentCode :
3026469
Title :
Wormhole attacks detection in wireless ad hoc networks: a statistical analysis approach
Author :
Song, Ning ; Qian, Lijun ; Li, Xiangfang
Author_Institution :
Dept. of Electr. Eng., A&M Univ., Prairie View, TX, USA
fYear :
2005
fDate :
4-8 April 2005
Abstract :
Various routing attacks for single-path routing have been identified for wireless ad hoc networks and the corresponding counter measures have been proposed in the literature. However, the effects of routing attacks on multi-path routing have not been addressed. In this paper, the performance of multi-path routing under wormhole attack is studied in detail. The results show that multi-path routing is vulnerable to wormhole attacks. A simple scheme based on statistical analysis (called SAM) is proposed to detect such attacks and to identify malicious nodes. Comparing to the previous approaches (for example, using packet leash), no special requirements (such as time synchronization or GPS) are needed in the proposed scheme. Simulation results demonstrate that SAM successfully detects wormhole attacks and locates the malicious nodes in networks with different topologies and with different node transmission range. Moreover, SAM may act as a module in local detection agents in an intrusion detection system (IDS) for wireless ad hoc networks.
Keywords :
ad hoc networks; multipath channels; routing protocols; statistical analysis; telecommunication security; intrusion detection system; malicious node location; multipath routing; routing protocol; statistical analysis; wireless ad hoc network; wormhole attack detection; Ad hoc networks; Counting circuits; Electric variables measurement; Information security; Intelligent networks; Intrusion detection; Mobile ad hoc networks; Network topology; Routing protocols; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
Type :
conf
DOI :
10.1109/IPDPS.2005.471
Filename :
1420257
Link To Document :
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