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Towards formalizing a reputation system for cheating detection in peer-to-peer-based massively multiplayer online games

Journal Article


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Abstract


  • The rapidly growing popularity of Massively Multiplayer Online Games (MMOGs) has

    given rise to an increase in the number of players world wide. MMOGs enable many players interact

    together through a shared sense of presence created by the game. The Peer-to-Peer (P2P) network

    topology overcomes communication bottleneck problems associated with centralized client/server sys-

    tems. Thus, P2P-based MMOGs are seen as the way of the future, and many dierent P2P-based

    MMOG architectures have been proposed to date. However, many architectures are proposed in an ad

    hoc manner and enhancing the security of such systems is an elusive research problem. In this paper,

    we address this important issue by making the following contributions. Firstly, we formalize the notion

    of P2P-based MMOGs and demonstrate that existing P2P-based MMOG architectures can be unied

    using our model. To our knowledge, this is the rst time that this has been done in the literature.

    Secondly, we use our model to develop a real-time cheating detection mechanism to identify cheating

    players, which can be used to expose several MMOG cheating strategies. Finally, we propose a new

    reputation based system for P2P-based MMOGs to enhance the cheating detection process.

Publication Date


  • 2012

Citation


  • Susilo, W., Chow, Y. & Wiangsripanawan, R. (2012). Towards formalizing a reputation system for cheating detection in peer-to-peer-based massively multiplayer online games. Lecture Notes in Computer Science, 7645 (N/A), 291-304. Wuyishan, Fujian Towards formalizing a reputation system for cheating detection in peer-to-peer-based massively multiplayer online games

Scopus Eid


  • 2-s2.0-84871579071

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1032&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/28

Number Of Pages


  • 13

Start Page


  • 291

End Page


  • 304

Volume


  • 7645

Abstract


  • The rapidly growing popularity of Massively Multiplayer Online Games (MMOGs) has

    given rise to an increase in the number of players world wide. MMOGs enable many players interact

    together through a shared sense of presence created by the game. The Peer-to-Peer (P2P) network

    topology overcomes communication bottleneck problems associated with centralized client/server sys-

    tems. Thus, P2P-based MMOGs are seen as the way of the future, and many dierent P2P-based

    MMOG architectures have been proposed to date. However, many architectures are proposed in an ad

    hoc manner and enhancing the security of such systems is an elusive research problem. In this paper,

    we address this important issue by making the following contributions. Firstly, we formalize the notion

    of P2P-based MMOGs and demonstrate that existing P2P-based MMOG architectures can be unied

    using our model. To our knowledge, this is the rst time that this has been done in the literature.

    Secondly, we use our model to develop a real-time cheating detection mechanism to identify cheating

    players, which can be used to expose several MMOG cheating strategies. Finally, we propose a new

    reputation based system for P2P-based MMOGs to enhance the cheating detection process.

Publication Date


  • 2012

Citation


  • Susilo, W., Chow, Y. & Wiangsripanawan, R. (2012). Towards formalizing a reputation system for cheating detection in peer-to-peer-based massively multiplayer online games. Lecture Notes in Computer Science, 7645 (N/A), 291-304. Wuyishan, Fujian Towards formalizing a reputation system for cheating detection in peer-to-peer-based massively multiplayer online games

Scopus Eid


  • 2-s2.0-84871579071

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1032&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/28

Number Of Pages


  • 13

Start Page


  • 291

End Page


  • 304

Volume


  • 7645