Understand watchdogs: Discover how game bot get discovered

Eunji Park, Kyung Ho Park, Huy Kang Kim

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

    1 Citation (Scopus)

    Abstract

    The game industry has long been troubled by malicious activities utilizing game bots. The game bots disturb other game players and destroy the environmental system of the games. For these reasons, the game industry put their best efforts to detect the game bots among players' characters using the learning-based detections. However, one problem with the detection methodologies is that they do not provide rational explanations about their decisions. To resolve this problem, in this work, we investigate the explainabilities of the game bot detection. We develop the XAI model using a dataset from the Korean MMORPG, AION, which includes game logs of human players and game bots. More than one classification model has been applied to the dataset to be analyzed by applying interpretable models. This provides us explanations about the game bots' behavior, and the truthfulness of the explanations has been evaluated. Besides, interpretability contributes to minimizing false detection, which imposes unfair restrictions on human players.

    Original languageEnglish
    Title of host publicationICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
    EditorsAna Paula Rocha, Luc Steels, Jaap van den Herik
    PublisherSciTePress
    Pages924-931
    Number of pages8
    ISBN (Electronic)9789897584848
    Publication statusPublished - 2021
    Event13th International Conference on Agents and Artificial Intelligence, ICAART 2021 - Virtual, Online
    Duration: 2021 Feb 42021 Feb 6

    Publication series

    NameICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
    Volume2

    Conference

    Conference13th International Conference on Agents and Artificial Intelligence, ICAART 2021
    CityVirtual, Online
    Period21/2/421/2/6

    Bibliographical note

    Publisher Copyright:
    © 2021 by SCITEPRESS - Science and Technology Publications, Lda.

    Keywords

    • Explainable artificial intelligence
    • Game bot detection

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Software

    Fingerprint

    Dive into the research topics of 'Understand watchdogs: Discover how game bot get discovered'. Together they form a unique fingerprint.

    Cite this