A New Random Walk for Replica Detection in WSNs

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dc.contributor.authorMohammed Y. Aalsalem
dc.contributor.authorWazir Zada Khan
dc.contributor.authorN. M. Saad
dc.contributor.authorMd. Shohrab Hossain
dc.contributor.authorMohammed Atiquzzaman
dc.contributor.authorMuhammad Khurram Khan
dc.date.accessioned2017-03-05T23:40:53Z
dc.date.available2017-03-05T23:40:53Z
dc.date.issued2016-07-13
dc.descriptionThe authors wish to thanks the anonymous reviewers for their valuable comments for the improvement of this manuscript. The authors wish to acknowledge the support and help of Deanship of Scientific Research at Jazan University and the authors also extend their sincere appreciations to Deanship of Scientific Research at King Saud University for its funding this Prolific Research Group (PRG-1436-16).en_US
dc.descriptionen_US
dc.description.abstractWireless 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.en_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnoteshttp://www.plosone.org/static/editorial#peeren_US
dc.identifier.citationAalsalem MY, Khan WZ, Saad NM, Hossain MS, Atiquzzaman M, Khan MK (2016) A New Random Walk for Replica Detection in WSNs. PLoS ONE 11(7): e0158072. doi:10.1371/journal.pone.0158072en_US
dc.identifier.doi10.1371/journal.pone.0158072en_US
dc.identifier.urihttp://hdl.handle.net/11244/49288
dc.language.isoen_USen_US
dc.publisherPLos One
dc.relation.ispartofseriesPLoS ONE 11(7): e0158072
dc.relation.urihttp://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0158072
dc.rightsAttribution 3.0 United States
dc.rights.requestablefalseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.subjectRandom walk,Cloning,Wireless sensor networks,Memory,Network analysis,Bioenergetics,Communication in health care,Telecommunicationsen_US
dc.titleA New Random Walk for Replica Detection in WSNsen_US
dc.typeResearch Articleen_US

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