14 March 2013 Security clustering algorithm based on reputation in hierarchical peer-to-peer network
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Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87687X (2013) https://doi.org/10.1117/12.2010529
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
Abstract
For the security problems of the hierarchical P2P network (HPN), the paper presents a security clustering algorithm based on reputation (CABR). In the algorithm, we take the reputation mechanism for ensuring the security of transaction and use cluster for managing the reputation mechanism. In order to improve security, reduce cost of network brought by management of reputation and enhance stability of cluster, we select reputation, the historical average online time, and the network bandwidth as the basic factors of the comprehensive performance of node. Simulation results showed that the proposed algorithm improved the security, reduced the network overhead, and enhanced stability of cluster.
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Mei Chen, Mei Chen, Xin Luo, Xin Luo, Guowen Wu, Guowen Wu, Yang Tan, Yang Tan, Kenji Kita, Kenji Kita, } "Security clustering algorithm based on reputation in hierarchical peer-to-peer network", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87687X (14 March 2013); doi: 10.1117/12.2010529; https://doi.org/10.1117/12.2010529
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