Abstract

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 (MMORPG). We observed the behavioral characteristics of game bots and found that they execute repetitive tasks associated with gold farming and real money trading. We propose a game bot detection method based on user behavioral characteristics. The method of this paper was applied to real data provided by a major MMORPG company. Detection accuracy rate increased to 96.06 % on the banned account list.

Highlights

  • A game bot is an automated program that plays a given game on behalf of a human player

  • Results and discussion we review more concretely the behavioral characteristics of bots and humans based on the various features utilized, and using the aforementioned dataset

  • We observed the behavioral characteristics of game bots and found several unique and discriminative characteristics

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Summary

Introduction

A game bot is an automated program that plays a given game on behalf of a human player. Game bots can earn much more game money and items than human users because the former can play without requiring a break. Game bots disturb human users because they consistently consume game resources. Game bots defeat all monsters quite rapidly and harvest items, such as farm produce and ore, before human users have an opportunity to harvest them. Game bots cause complaints from human users and damage the reputation of the online game service provider. Game bots can cause inflation in a game’s economy and shorten the game’s lifecycle, which defeats the purpose for which game companies develop such games (Lee et al 2016)

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