Abstract
Traditional wireless sensor networks (WSN) are entity-centric systems making Sybil attacks, collusion attacks, false data injection attacks etc. very effective attacks. These attacks are critical security threat to WSN. Although there are many security solutions to these attacks, such as cryptography, reputation, authentic consensus, none of them can well defense all these attacks respectively. In this paper, we address this challenge by combining classical security solutions and extending the traditional entity-centric trust to data-centric trust via Dempster-Shafer Theory (DST) and a new method: Proof-of-Reputation-Relevance (PoRR). Our data-centric trust framework gives a whole solution for those attacks. It is realized by our PoRR accomplished by collecting reputation weighted authentic consensus from witness nodes in a cooperative way. Event reports from attacks who fail to provide right PoRR are discarded or given low trust levels. Our simulation results show that our scheme is highly resilient to attackers and converges stably to the correct decision.
This work is partially funded by NFSC project the Research of Data-Centric Security Mechanism in Wireless Sensor Networks (NO.60873239). NSFC: National Natural Science Foundation of China.
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Li, M., Hu, J., Gui, N. (2010). Data-Centric Trust Framework for High Integrity Wireless Sensor Networks. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_61
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DOI: https://doi.org/10.1007/978-3-642-13067-0_61
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