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Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
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Multimodal game bot detection using user behavioral characteristics.

Ah Reum Kang1, Seong Hoon Jeong2, Aziz Mohaisen1

  • 1Department of Computer Science and Engineering, State University of New York at Buffalo, White Road, Buffalo, NY USA.

Springerplus
|May 18, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to detect game bots in massively multiplayer online role playing games (MMORPGs) by analyzing user behavior. The proposed approach achieved a 96.06% detection accuracy for banned accounts, combating illicit activities like gold farming.

Keywords:
Behavior analysisData miningMMORPGOnline game securitySocial network analysis

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Area of Science:

  • Cybersecurity
  • Game Development
  • Data Science

Background:

  • The online service industry's growth has fueled diverse illegal activities, particularly in online gaming.
  • Cyber assets in games are frequently monetized into real currency, incentivizing continuous illicit operations.
  • Game bots, performing repetitive tasks for gold farming and real money trading, are a significant challenge.

Purpose of the Study:

  • To develop and evaluate a game bot detection method for massively multiplayer online role playing games (MMORPGs).
  • To identify and leverage unique behavioral characteristics of game bots for detection.

Main Methods:

  • Observation of behavioral patterns exhibited by game bots.
  • Development of a detection algorithm based on distinctive user behavioral characteristics.
  • Application of the detection method to real-world data from a major MMORPG.

Main Results:

  • The proposed method effectively identifies game bots by analyzing their repetitive task execution.
  • Applied to a major MMORPG's data, the detection accuracy reached 96.06% on the banned account list.
  • The findings demonstrate the efficacy of behavioral analysis in combating in-game illicit activities.

Conclusions:

  • User behavioral characteristics provide a reliable basis for detecting game bots in MMORPGs.
  • The developed method offers a highly accurate solution for identifying and banning fraudulent accounts.
  • This research contributes to a safer and fairer online gaming environment by mitigating economic cybercrime.