Resisting Collusion by Game in Culture Web

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 t...

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Bibliographic Details
Main Authors: Bao Yu, Cao Tianjie, Zeng Guosun
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
collusion recognition
Computational modeling
Cultural differences
culture web
Game theory
Games
Peer to peer computing
Reliability
reputation system
trust system
Online Access:Request full text
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Summary: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.
ISSN:1524-4547
2641-8169
DOI:10.1109/WETICE.2011.45