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A New Random Walk for Replica Detection in WSNs

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  • Mohammed Y Aalsalem
  • Wazir Zada Khan
  • N M Saad
  • Md Shohrab Hossain
  • Mohammed Atiquzzaman
  • Muhammad Khurram Khan

Abstract

Wireless Sensor Networks (WSNs) are vulnerable to Node Replication attacks or Clone attacks. Among all the existing clone detection protocols in WSNs, RAWL shows the most promising results by employing Simple Random Walk (SRW). More recently, RAND outperforms RAWL by incorporating Network Division with SRW. Both RAND and RAWL have used SRW for random selection of witness nodes which is problematic because of frequently revisiting the previously passed nodes that leads to longer delays, high expenditures of energy with lower probability that witness nodes intersect. To circumvent this problem, we propose to employ a new kind of constrained random walk, namely Single Stage Memory Random Walk and present a distributed technique called SSRWND (Single Stage Memory Random Walk with Network Division). In SSRWND, single stage memory random walk is combined with network division aiming to decrease the communication and memory costs while keeping the detection probability higher. Through intensive simulations it is verified that SSRWND guarantees higher witness node security with moderate communication and memory overheads. SSRWND is expedient for security oriented application fields of WSNs like military and medical.

Suggested Citation

  • Mohammed Y Aalsalem & Wazir Zada Khan & N M Saad & Md Shohrab Hossain & Mohammed Atiquzzaman & Muhammad Khurram Khan, 2016. "A New Random Walk for Replica Detection in WSNs," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-20, July.
    • Handle: RePEc:plo:pone00:0158072
    DOI: 10.1371/journal.pone.0158072
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    References listed on IDEAS

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    1. Wazir Zada Khan & Mohammed Y Aalsalem & N M Saad, 2015. "Distributed Clone Detection in Static Wireless Sensor Networks: Random Walk with Network Division," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-22, May.
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    Cited by:

    1. Ahmed Abdulqader Hussein & Chee Yen Leow & Tharek A Rahman, 2017. "Robust multiple frequency multiple power localization schemes in the presence of multiple jamming attacks," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-43, May.

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