Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs
Wormhole attack is one of the severe threats to wireless sensor and ad hoc networks. Most of the existing countermeasures either require specialized hardware or demand high network overheads in order to capture the specific symptoms induced by the wormholes, which in result limits their applicabilit...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/356382 |
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| _version_ | 1850174988435324928 |
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| author | Li Lu Muhammad Jawad Hussain Guoxing Luo Zhigang Han |
| author_facet | Li Lu Muhammad Jawad Hussain Guoxing Luo Zhigang Han |
| author_sort | Li Lu |
| collection | DOAJ |
| description | Wormhole attack is one of the severe threats to wireless sensor and ad hoc networks. Most of the existing countermeasures either require specialized hardware or demand high network overheads in order to capture the specific symptoms induced by the wormholes, which in result limits their applicability. In this paper, we exploit an inevitable symptom of wormholes and present Pworm, a passive wormhole detection and localization system based upon the key observation that a large amount of network traffic will be attracted by the wormholes. The proposed scheme is passive, real-time, and efficient against both active and passive wormholes. Our approach silently observes the variations in network topology to infer the wormhole existence and solely relies on network routing information. It does not necessitate specialized hardware or poses rigorous assumptions on network features. We evaluate our scheme through extensive simulations of 100 to 800 nodes for various network scales and show that Pworm is well suited for false alarms, scalability, and time delay in terms of activation as well as detection latencies. |
| format | Article |
| id | doaj-art-d6ebb2cf367c420ea02468d09ebc8e25 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-d6ebb2cf367c420ea02468d09ebc8e252025-08-20T02:19:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-11-011110.1155/2015/356382356382Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNsLi Lu0Muhammad Jawad Hussain1Guoxing Luo2Zhigang Han3 School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaWormhole attack is one of the severe threats to wireless sensor and ad hoc networks. Most of the existing countermeasures either require specialized hardware or demand high network overheads in order to capture the specific symptoms induced by the wormholes, which in result limits their applicability. In this paper, we exploit an inevitable symptom of wormholes and present Pworm, a passive wormhole detection and localization system based upon the key observation that a large amount of network traffic will be attracted by the wormholes. The proposed scheme is passive, real-time, and efficient against both active and passive wormholes. Our approach silently observes the variations in network topology to infer the wormhole existence and solely relies on network routing information. It does not necessitate specialized hardware or poses rigorous assumptions on network features. We evaluate our scheme through extensive simulations of 100 to 800 nodes for various network scales and show that Pworm is well suited for false alarms, scalability, and time delay in terms of activation as well as detection latencies.https://doi.org/10.1155/2015/356382 |
| spellingShingle | Li Lu Muhammad Jawad Hussain Guoxing Luo Zhigang Han Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs International Journal of Distributed Sensor Networks |
| title | Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs |
| title_full | Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs |
| title_fullStr | Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs |
| title_full_unstemmed | Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs |
| title_short | Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs |
| title_sort | pworm passive and real time wormhole detection scheme for wsns |
| url | https://doi.org/10.1155/2015/356382 |
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