Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division
In the matter of detecting clone attacks, we bring in a novel solution called Single Stage Memory Random Walk with Network Division (SSRAND) to circumvent the problems of simple random walk as exploited by both RAND and RAWL protocols. SSRAND combines the single stage memory random walk with network...
| Main Authors: | Khan, W.Z., Saad, N.M., Aalsalem, M.Y., Xaing, Y. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.26234 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937827776&doi=10.1109%2fAPCCAS.2014.7032843&partnerID=40&md5=44d5460ef8e72798ced8c50b3288c6f5 http://eprints.utp.edu.my/26234/ |
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utp-eprints.262342021-08-30T08:55:15Z Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division Khan, W.Z. Saad, N.M. Aalsalem, M.Y. Xaing, Y. In the matter of detecting clone attacks, we bring in a novel solution called Single Stage Memory Random Walk with Network Division (SSRAND) to circumvent the problems of simple random walk as exploited by both RAND and RAWL protocols. SSRAND combines the single stage memory random walk with network division for clone detection and simulation results verify that it not only reduces the communication and memory costs but also ensures high security of witness nodes with increased detection probability of clones. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2015 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937827776&doi=10.1109%2fAPCCAS.2014.7032843&partnerID=40&md5=44d5460ef8e72798ced8c50b3288c6f5 Khan, W.Z. and Saad, N.M. and Aalsalem, M.Y. and Xaing, Y. (2015) Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division. In: UNSPECIFIED. http://eprints.utp.edu.my/26234/ |
| institution |
Universiti Teknologi Petronas |
| collection |
UTP Institutional Repository |
| description |
In the matter of detecting clone attacks, we bring in a novel solution called Single Stage Memory Random Walk with Network Division (SSRAND) to circumvent the problems of simple random walk as exploited by both RAND and RAWL protocols. SSRAND combines the single stage memory random walk with network division for clone detection and simulation results verify that it not only reduces the communication and memory costs but also ensures high security of witness nodes with increased detection probability of clones. © 2014 IEEE. |
| format |
Conference or Workshop Item |
| author |
Khan, W.Z. Saad, N.M. Aalsalem, M.Y. Xaing, Y. |
| spellingShingle |
Khan, W.Z. Saad, N.M. Aalsalem, M.Y. Xaing, Y. Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division |
| author_sort |
Khan, W.Z. |
| title |
Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division |
| title_short |
Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division |
| title_full |
Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division |
| title_fullStr |
Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division |
| title_full_unstemmed |
Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division |
| title_sort |
detecting clones in wireless sensor networks using single stage memory random walk with network division |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2015 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937827776&doi=10.1109%2fAPCCAS.2014.7032843&partnerID=40&md5=44d5460ef8e72798ced8c50b3288c6f5 http://eprints.utp.edu.my/26234/ |
| _version_ |
1741197105202987008 |
| score |
11.62408 |