2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (2011)
June 27, 2011 to June 29, 2011
State of the culture web allow the users to aggregate information from many culture heritages' sources or buy the foreign culture products. In these websites, reputation systems, a proved useful mechanism, is introduced to help people to decide which information deserved to trust. To maintain the overall credibility of the information, users are confronted with assessing the reliability of information from different sources. This paper presents anti-collusion algorithm, a collusive group recognition method based on game theory. In reputation systems, users forming collusive group tend to increase theirs own reputations by abusing evaluation of other users' behaviors. Anti-collusion algorithm makes a good use of the game between the members of collusive group, who have to form a special pattern of profit distribution not only on income of reputation but also on distribution of profit if they want to get the benefits from collusion. In order to promote capabilities of the system, anti-collusion algorithm will be adopted to distinguish these groups in terms of the special pattern.
trust system; reputation system; collusion recognition; culture web
Cao Tianjie, Bao Yu, Bao Yu, Zeng Guosun, "Resisting Collusion by Game in Culture Web", 2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, vol. 00, no. , pp. 262-267, 2011, doi:10.1109/WETICE.2011.45