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CAPTCHA challenges for massively multiplayer online games: Mini-game CAPTCHAs

Conference Paper


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Abstract


  • Botting or automated programs in Massively

    Multiplayer Online Games (MMOGs) has long been a problem

    in these networked virtual environments. The use of bots gives

    cheating players an unfair advantage over other honest

    players. Using bots, players can potentially amass a huge

    amount of game wealth, resources, experience points, etc.

    without much effort, as bot programs can be run continuously

    for countless hours and will never get tired. Honest players on

    the other hand have to spend much more time and effort in

    order to gather an equal amount of game resources. This

    destroys the fun for legitimate players, ruins the balance of the

    game and threatens the game developer’s revenue base as

    discontented players may stop playing the game. Research

    efforts have proposed the incorporation of CAPTCHA

    (Completely Automated Public Turing test to tell Computers

    and Humans Apart) challenges in games to prevent or detect

    potential cheaters, by presenting challenges that are easy for a

    human to solve but are difficult for a computer to solve.

    However, the incorporation of CAPTCHA challenges in games

    is often seen in a negative light, as they are deemed to be

    intrusive and that they destroy the sense of immersion in the

    game. This research presents an approach of using

    CAPTCHAs in MMOGs that is both secure and adds

    gameplay value to the game.

Publication Date


  • 2010

Citation


  • Chow, Y., Susilo, W. & Zhou, H. (2010). CAPTCHA challenges for massively multiplayer online games: Mini-game CAPTCHAs. International Conference on Cyberworlds (pp. 254-261). Piscataway, New Jersey, USA: IEEE.

Scopus Eid


  • 2-s2.0-78751480974

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=10871&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3535

Has Global Citation Frequency


Start Page


  • 254

End Page


  • 261

Place Of Publication


  • Piscataway, New Jersey, USA

Abstract


  • Botting or automated programs in Massively

    Multiplayer Online Games (MMOGs) has long been a problem

    in these networked virtual environments. The use of bots gives

    cheating players an unfair advantage over other honest

    players. Using bots, players can potentially amass a huge

    amount of game wealth, resources, experience points, etc.

    without much effort, as bot programs can be run continuously

    for countless hours and will never get tired. Honest players on

    the other hand have to spend much more time and effort in

    order to gather an equal amount of game resources. This

    destroys the fun for legitimate players, ruins the balance of the

    game and threatens the game developer’s revenue base as

    discontented players may stop playing the game. Research

    efforts have proposed the incorporation of CAPTCHA

    (Completely Automated Public Turing test to tell Computers

    and Humans Apart) challenges in games to prevent or detect

    potential cheaters, by presenting challenges that are easy for a

    human to solve but are difficult for a computer to solve.

    However, the incorporation of CAPTCHA challenges in games

    is often seen in a negative light, as they are deemed to be

    intrusive and that they destroy the sense of immersion in the

    game. This research presents an approach of using

    CAPTCHAs in MMOGs that is both secure and adds

    gameplay value to the game.

Publication Date


  • 2010

Citation


  • Chow, Y., Susilo, W. & Zhou, H. (2010). CAPTCHA challenges for massively multiplayer online games: Mini-game CAPTCHAs. International Conference on Cyberworlds (pp. 254-261). Piscataway, New Jersey, USA: IEEE.

Scopus Eid


  • 2-s2.0-78751480974

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=10871&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3535

Has Global Citation Frequency


Start Page


  • 254

End Page


  • 261

Place Of Publication


  • Piscataway, New Jersey, USA