作者:苗光胜;冯登国;苏璞睿 刊名:计算机研究与发展 上传者:尹文龙



计算机研究与发展 ISSN 1000-1239?CN 11-1777?TPJournal of Computer Research and Development  48(12):2187-2200,2011  收稿日期:2009-05-06;修回日期:2010-06-28  基金项目:国家自然科学基金项目(60703076);国家“八六三”高技术研究发展计划基金项目(2006AA01Z412,2007AA01Z451,2009AA01Z435); 国家科技重大专项基金项目(2011ZX03002-005-02) P2P信任模型中基于模糊逻辑的共谋团体识别方法 苗光胜1 冯登国2 苏璞睿2 1(中国科学院声学研究所高性能网络实验室 北京 100190) 2(中国科学院软件研究所信息安全国家重点实验室 北京 100190) ( miaogsh@hpnl.ac.cn) A Collusion Detector Based on Fuzzy Logic in P2PTrust Model Miao Guangsheng 1,Feng Dengguo 2,and Su Purui  2 1( High Performance Network Laboratory , Institute of Acoustics , Chinese Academy of Sciences , Beijing 100190) 2( State Key Laboratory of Information Security ( Institute of Software , Chinese Academy of Sciences ), Beijing 100190) Abstract As peer-to-peer(P2P)applications have achieved enormous success,the security of P2Pnetwork is getting more and more concerns.Particularly,the trust problem has become bottleneck because of the open and anonymous nature of P2P network.Trust model provides a securitymechanism for P2Pnetwork and is proven to play an important role in improving the robustness ofP2Pnetwork.However,colluding peers pose a serious threat to the security of trust model.Forexample,colluding peers may subvert the trust model by  spreading plenty of false evaluation.Mostexisting trust models in P2Pnetwork are known as completely green hand in handling colluding peers. Some of them pose measures to make colluding attack difficult,but they are far from satisfying mainlybecause they