Research on online game bot guild detection method
نویسندگان
چکیده
منابع مشابه
Game Bot Detection Based on Avatar Trajectory
In recent years, online gaming has become one of the most popular Internet activities, but cheating activity, such as the use of game bots, has increased as a consequence. Generally, the gaming community disagrees with the use of game bots, as bot users obtain unreasonable rewards without corresponding efforts. However, bots are hard to detect because they are designed to simulate human game pl...
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The videogame industry is a growing business in the world, with an annual growth rate that exceeded 16.7% for the period 2005 through 2008. Moreover, revenues from online games will account for more than 38% of total video game software revenues by 2013. Due to this, online games are vulnerable to illicit player activity that results in cheating. Cheating in online games could damage the reputa...
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Bot detection is an emerging problem in social games that requires different approaches from those used in massively multi-player online games (MMOGs). We focus on mouse selections as a key element of bot detection. We hypothesize that certain interface elements result in predictable differences in mouse selections, which we call spatial game signatures, and that those signatures can be used to...
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As the online service industry has continued to grow, illegal activities in the online world have drastically increased and become more diverse. Most illegal activities occur continuously because cyber assets, such as game items and cyber money in online games, can be monetized into real currency. The aim of this study is to detect game bots in a massively multiplayer online role playing game (...
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Increasing evidence suggests that a growing amount of social media content is generated by autonomous entities known as social bots. In this work we present a framework to detect such entities on Twitter. We leverage more than a thousand features extracted from public data and meta-data about users: friends, tweet content and sentiment, network patterns, and activity time series. We benchmark t...
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ژورنال
عنوان ژورنال: Journal of the Korea Institute of Information Security and Cryptology
سال: 2015
ISSN: 1598-3986
DOI: 10.13089/jkiisc.2015.25.5.1115