I know what the BOTs did yesterday: Full action sequence analysis using Naïve Bayesian algorithm

Jina Lee, Jiyoun Lim, Wonjun Cho, Huy Kang Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    A game BOT is a major threat in the online game industry. There have been many efforts to distinguish game BOT users from normal users. Several studies have proposed BOT detection models based on the analysis of users' in-game action sequence data. These studies indicated that the analysis of users' in-game actions is effective to detect BOTs. However, they do not use sufficiently large data sets to train and test their algorithms. In this paper, we have proposed a BOT detection model that uses users' in-game action sequence data obtained with the aid of big data analysis environments. We did empirical analysis of the dataset of "Blade and Soul", the third largest MMORPG in Korea. The result shows that a large amount of sequence data leads to high accuracy.

    Original languageEnglish
    Title of host publicationAnnual Workshop on Network and Systems Support for Games
    PublisherIEEE Computer Society
    ISBN (Print)9781479929610
    DOIs
    Publication statusPublished - 2013 Jan 1
    Event2013 12th Annual Workshop on Network and Systems Support for Games, NetGames 2013 - Denver, CO, United States
    Duration: 2013 Dec 92013 Dec 10

    Other

    Other2013 12th Annual Workshop on Network and Systems Support for Games, NetGames 2013
    Country/TerritoryUnited States
    CityDenver, CO
    Period13/12/913/12/10

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Human-Computer Interaction
    • Electrical and Electronic Engineering

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