Colluding clique detector based on activity similarity in P2P trust model

MIAO Guang-sheng; FENG Deng-guo; SU Pu-rui

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Colluding clique detector based on activity similarity in P2P trust model

更新时间：2024-10-14

- Colluding clique detector based on activity similarity in P2P trust model
- Vol. 30, Issue 8, Pages: 9-20(2009)
- 作者机构：
  
  中国科学院软件研究所信息安全国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2009
- 稿件说明：
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MIAO Guang-sheng, FENG Deng-guo, SU Pu-rui. Colluding clique detector based on activity similarity in P2P trust model[J]. 2009, 30(8): 9-20.
DOI：

MIAO Guang-sheng, FENG Deng-guo, SU Pu-rui. Colluding clique detector based on activity similarity in P2P trust model[J]. 2009, 30(8): 9-20. DOI：

摘要

提出了一种P2P环境下的基于节点行为相似度的共谋团体识别模型CCD(colludingcliquedetector)

并给出了该模型的数学描述和分布式实现方法。该模型可以通过分析节点之间的行为相似度有效地检测出信任模型中存在的共谋团体

从而帮助信任模型排除共谋团体的干扰。仿真实验表明

CCD模型在共谋团体的检测和抵制方面效果显著

使信任模型在面对共谋攻击时的健壮性和下载成功率都大大提高。

Abstract

Colluding clique has become the first threat to trust model. However

today’s trust models in P2P network are known as green hand in handling colluding cliques. CCD

a colluding clique detector

was proposed to detect the exis-tence of colluding clique by measuring similarity of peer’s activities

which included a mathematical description and a distributed implementation. The simulation results show that CCD is considerably effective in detecting colluding cliques and trust model with CCD is more reliable and has higher success rate than the same trust model but without CCD espe-cially when many colluding cliques exist.

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