174 research outputs found

    Not all the bots are created equal:the Ordering Turing Test for the labelling of bots in MMORPGs

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    This article contributes to the research on bots in Social Media. It takes as its starting point an emerging perspective which proposes that we should abandon the investigation of the Turing Test and the functional aspects of bots in favor of studying the authentic and cooperative relationship between humans and bots. Contrary to this view, this article argues that Turing Tests are one of the ways in which authentic relationships between humans and bots take place. To understand this, this article introduces the concept of Ordering Turing Tests: these are sort of Turing Tests proposed by social actors for purposes of achieving social order when bots produce deviant behavior. An Ordering Turing Test is method for labeling deviance, whereby social actors can use this test to tell apart rule-abiding humans and rule-breaking bots. Using examples from Massively Multiplayer Online Role-Playing Games, this article illustrates how Ordering Turing Tests are proposed and justified by players and service providers. Data for the research comes from scientific literature on Machine Learning proposed for the identification of bots and from game forums and other player produced paratexts from the case study of the game Runescape

    Crime Scene Re-investigation: A Postmortem Analysis of Game Account Stealers' Behaviors

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    As item trading becomes more popular, users can change their game items or money into real money more easily. At the same time, hackers turn their eyes on stealing other users game items or money because it is much easier to earn money than traditional gold-farming by running game bots. Game companies provide various security measures to block account- theft attempts, but many security measures on the user-side are disregarded by users because of lack of usability. In this study, we propose a server-side account theft detection system base on action sequence analysis to protect game users from malicious hackers. We tested this system in the real Massively Multiplayer Online Role Playing Game (MMORPG). By analyzing users full game play log, our system can find the particular action sequences of hackers with high accuracy. Also, we can trace where the victim accounts stolen money goes.Comment: 7 pages, 8 figures, In Proceedings of the 15th Annual Workshop on Network and Systems Support for Games (NetGames 2017

    Multimodal game bot detection using user behavioral characteristics

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    Is a Technological Singularity near also for bots in MMOGs?

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    Using the idea of the Technological Singularity this essay offers some reflections on the possible future of bots in Massively Multiplayer Online Games (MMOGs). The paper starts by briefly introducing the notion of Technological Singularity as the advent of a super-intelligent Artificial Intelligence that could threaten human existence. Bots are computer programs that automate repetitive and time consuming activities for the Internet user. In MMOGs, bots are often used to cheat and could have nefarious effects on the gameplay. Assuming that bots are rudimentary forms of Artificial Intelligence that also pose a threat to MMOGs and their players, the paper presents some evidence-based trends of the future evolution of bots and the implications of these for Virtual Worlds research

    Embedded noninteractive continuous bot detection

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    Multiplayer online computer games are quickly growing in popularity, with millions of players logging in every day. While most play in accordance with the rules set up by the game designers, some choose to utilize artificially intelligent assistant programs, a.k.a. bots, to gain an unfair advantage over other players. In this article we demonstrate how an embedded noninteractive test can be used to prevent automatic artificially intelligent players from illegally participating in online game-play. Our solution has numerous advantages over traditional tests, such as its nonobtrusive nature, continuous verification, and simple noninteractive and outsourcing-proof design. © 2008 ACM

    "We Will Always Be One Step Ahead of Them" A Case Study on the Economy of Cheating in MMORPGs

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    Massive Multiplayer Online Role-Playing Games (MMORPGs) are a sub-sector of virtual worlds that share with other worlds the characteristics of both complex technological systems and complex societies. The success of several MMORPGs makes them a vibrant area for research from different points of view, including their economic aspects (Castronova, 2005). Our research is mainly concerned with the practice of cheating in MMORPGs and its consequences. In this paper we explore the economic dimensions of cheating in MMORPGs as they relate to the business activities of companies that offer cheating software, in particular programs called 'bots'. Specifically, we address the following question: "How do cheating practices shape economic interactions around MMORPGs?" We characterize the economy of cheating (as it is carried out by cheating companies) as an answer to breakdowns in the relationship between cheaters and cheating companies (Winograd and Flores, 1987; Akrich, 1992), which involves both learning and innovation processes. In order to answer our question we present a case study of the Tibia (http://www.tibia.com) and an ongoing anti-cheating campaign. In the conclusion of the paper we provide some general reflections on the relevance of the economy of cheating to Virtual Worlds research
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