Bot-pelganger: Predict and Preserve Game Bots' Behavior

Yongsik Kim, Huy Kang Kim

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

Abstract

In most multiplayer online games, players' repetitive tasks (i.e., spec-up) are required to grow their characters. However, some users use illegal programs, 'game bots,' to achieve a high level fast or gain cyber-money. Various methods have been proposed to identify game bots. However, the methods have generalization issues. Because the methods use features only existed in the specific game. Thus, we carefully use common features that existed in multiple datasets broadly, such as 'login' or 'exit' events to detect bots. Choosing such general events gives merits from the applicability view; however, if we only use time or space-related features, we fail to detect bots from normal users because the bots' behavior patterns are omitted too much. We use a convolutional LSTM (ConvLSTM) model to overcome this problem, superimpose their behavioral histories over time, and record them as image sequences. By finding a user who shows high self-similar behavior, we regard it as an unidentified bot; then, we update their behavior patterns for future use. As a result, the proposed model showed a high accuracy of 98% in classifyina game bot users.

Original languageEnglish
Title of host publicationProceedings - 2022 17th Asia Joint Conference on Information Security, AsiaJCIS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages56-63
Number of pages8
ISBN (Electronic)9781665473927
DOIs
Publication statusPublished - 2022
Event17th Annual Asia Joint Conference on Information Security, AsiaJCIS 2022 - Virtual, Online, China
Duration: 2022 Aug 152022 Aug 16

Publication series

NameProceedings - 2022 17th Asia Joint Conference on Information Security, AsiaJCIS 2022

Conference

Conference17th Annual Asia Joint Conference on Information Security, AsiaJCIS 2022
Country/TerritoryChina
CityVirtual, Online
Period22/8/1522/8/16

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Big Data
  • Game
  • Pattern Analysis
  • Visualization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Safety, Risk, Reliability and Quality

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