Title :
A Multi-granularity Reputation Management Model Suitable for P2P MMOG
Author :
Liu Fang ; Shi Xiang-bin ; Dai Qin ; Yang Hong-Ping
Author_Institution :
Dept. of Comput., Shenyang Aerosp. Univ., Shenyang, China
Abstract :
In order to solve the problem of the lack of fairness and poor security in online games, this paper presents a multi-granularity reputation management model for P2P MMOG. In order to accurately evaluate the reputation of the different roles of the games players, the model assesses the reputation of different roles taken by players respectively and calculates the player´s reputation by fuzzy theory. This paper also gives the algorithm of reputation evaluation. In addition, this paper introduces the incentive mechanism to encourage players to take the initiative to carry out evaluation on the quality of coordinator service and act as a coordinator. The experimental results show that the multi-granularity reputation can provide a more appropriate credit support in related fields and provide a fair and credible gaming environment for the multi-player games.
Keywords :
computer games; computer network security; fuzzy set theory; incentive schemes; peer-to-peer computing; P2P MMOG; coordinator service quality evaluation; credible gaming environment; fuzzy set theory; incentive mechanism; multigranularity reputation management model; peer-to-peer massively multiplayer online games; reputation evaluation algorithm; Computational modeling; Delay; Detection algorithms; Games; Peer to peer computing; Quality of service; Vectors; P2P MMOG; fairness; reputation management model; security;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.33