Game behavior pattern modeling for game bots detection in MMORPG

Sang Hyun Park, Jee Hyong Lee, Hye Wuk Jung, Sung Woo Bang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Game industry, especially MMORPG (Massively Multiplayer Online Role Playing Game) has been rapidly expanding in these days. But at the same time, lots of online game security incidents have been increasing and getting more diverse. One of the most critical security incidents is 'Game Bots', which mimic human player's playing behaviors. Bot users can get a lot of benefic game elements (experience point, item, etc.) without any effort, and it is considered unfair to other players. Plenty of game companies try to prevent bots, but it does not work well. In this paper, we propose a behavior pattern model for detecting bots. We analyzed behaviors of human players as well as bots and identified six game features to build the model to differentiate bots from human players. Based on these features, we can construct a solution which can detect bots.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Ubiquitous Information Management and Communication, ICUIMC 10
Pages229-233
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event4th International Conference on Ubiquitous Information Management and Communication, ICUIMC'10 - Suwon, Korea, Republic of
Duration: 14 Jan 201015 Jan 2010

Publication series

NameProceedings of the 4th International Conference on Ubiquitous Information Management and Communication ICUIMC 10

Conference

Conference4th International Conference on Ubiquitous Information Management and Communication, ICUIMC'10
Country/TerritoryKorea, Republic of
CitySuwon
Period14/01/1015/01/10

Keywords

  • game bot
  • MMORPG
  • pattern modeling

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