Collusion detector based on G-N algorithm for trust model  

作　　者：Lin Zhang Na Yin Jingwen Liu Ruchuan Wang 

机构地区：[1]College of Computer, Nanjing University of Posts and Telecommunications,Nanjing 210003,China [2]Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks,Nanjing 210003,China [3]Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nangjing University of Posts and Telecommunications,Nangjing 210003,China

出　　处：《Journal of Systems Engineering and Electronics》2016年第4期926-935,共10页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61402241;61572260;61373017;61572261;61472192);the Scientific&Technological Support Project of Jiangsu Province(BE2015702)

摘　　要：In the open network environment, malicious attacks to the trust model have become increasingly serious. Compared with single node attacks, collusion attacks do more harm to the trust model. To solve this problem, a collusion detector based on the GN algorithm for the trust evaluation model is proposed in the open Internet environment. By analyzing the behavioral characteristics of collusion groups, the concept of flatting is defined and the G-N community mining algorithm is used to divide suspicious communities. On this basis, a collusion community detector method is proposed based on the breaking strength of suspicious communities. Simulation results show that the model has high recognition accuracy in identifying collusion nodes, so as to effectively defend against malicious attacks of collusion nodes.In the open network environment, malicious attacks to the trust model have become increasingly serious. Compared with single node attacks, collusion attacks do more harm to the trust model. To solve this problem, a collusion detector based on the GN algorithm for the trust evaluation model is proposed in the open Internet environment. By analyzing the behavioral characteristics of collusion groups, the concept of flatting is defined and the G-N community mining algorithm is used to divide suspicious communities. On this basis, a collusion community detector method is proposed based on the breaking strength of suspicious communities. Simulation results show that the model has high recognition accuracy in identifying collusion nodes, so as to effectively defend against malicious attacks of collusion nodes.

关 键 词：trust model collusion detector G-N algorithm 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]