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Analysis of range-free anchor-free localization in a wsn under wormhole attack
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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems table of contents
Chania, Crete Island, Greece
SESSION: Localization and tracking table of contents
Pages: 344 - 351  
Year of Publication: 2007
ISBN:978-1-59593-851-0
Authors
Yurong Xu  University of Texas at Arlington, Arlington, TX
Yi Ouyang  University of Texas at Arlington, Arlington, TX
Zhengyi Le  University of Texas at Arlington, Arlington, TX
James Ford  University of Texas at Arlington, Arlington, TX
Fillia Makedon  University of Texas at Arlington, Arlington, TX
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
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ACM  New York, NY, USA
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ABSTRACT

Localization is a fundamental problem in wireless sensor networks. Currently, most localization protocols assume a benign environment. This paper studies how a localization protocol can be affected by attacks, especially those like wormhole attacks that don't need to capture the keys used in the network, and how such an attack can be detected and defended in distributed scheme. By applying several localization algorithms, this paper first shows that wormhole attacks are a serious threat to all these algorithms, based on simulation in NS-2. The paper first evaluates the effects of wormhole attacks on several Range-Free Anchor-Free (RFAF) localization algorithms based on hop-counting and connectivity techniques. Then, the paper presents an RFAF localization algorithm called Wormhole-resilient Geographic Distributed Localization (WGDL), which embeds a wormhole detecting/recovering mechanism: if this mechanism detects wormhole attacks in location computation, then it will restore the localization by freezing the wormhole affected area. Simulations show that the proposed detection method is effective on different network placements, and that the mechanism has both a low False Toleration Rate (FTR) and a low False Detection Rate (FDR) in detecting wormhole attacks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Yurong Xu: colleagues
Yi Ouyang: colleagues
Zhengyi Le: colleagues
James Ford: colleagues
Fillia Makedon: colleagues