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| Unique-preorder-node Based DV-Hop Localization against Wormhole Attack for Wireless Sensor Networks |
| Jiuhu Zheng, Huanyan Qian, Jiguang Chen, Jiang Xu |
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Abstract DV-Hop is a range-free localization algorithm widely applied in
wireless sensor network. Wormhole attack is one of the most serious
attacks on DV-Hop. Previous solutions are mainly based on location
leash and time leash which need hardware support, while the rest of
the mechanisms without hardware support often require a higher ratio
of beacon nodes and very complex operations. In this paper, we have
analyzed the impact of the wormhole attack on the DV-Hop location
algorithm. When the DV-Hop is invaded by the wormhole attack, the
probability of the wormhole attack tunnel to be the shortest path is
the biggest of all. Then we put forward the PDWA wormhole attack
detection algorithm based on the Unique Preorder Node (UPN). It
analyses the number of UPN and relationship through the statistics,
detects the wormhole attack nodes without hardware support, and its
computational complexity is also not high. The simulation results
show that our proposed location scheme can fully detect the wormhole
attacker. The obtained positioning accuracy is almost the same as
the DV-Hop without a wormhole attack. What's more, after it is
applied to the improved MHDV-Hop algorithm, we also achieved a
perfect effect. So the results fully show that our proposed scheme
can resist the influence of the wormhole attack on DV-Hop.
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| DOI:10.12733/jics20105716 |
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