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학술지 Detecting and Monitoring Game Bots Based on Large-Scale User-Behavior Log Data Analysis in Multiplayer Online Games
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저자
최연준, 장성준, 김용준, 이헌주, 손욱호, 진성일
발행일
201609
출처
Journal of Supercomputing, v.72 no.9, pp.3572-3578
ISSN
0920-8542
출판사
Springer
DOI
https://dx.doi.org/10.1007/s11227-015-1545-2
협약과제
15CS1200, 실세계 연계 실감형 e-레저 콘텐츠 서비스 기술 개발, 이헌주
초록
Online games with a variety of genres and game style have become popular. While the market for online games is growing, unauthorized program software is used and operated by some users. They damaged fair players and furthermore, bot program users have inflicted a huge loss to game service companies. Bot programs show various game play action styles and there are many users not only in Korea but also other countries, so it is not easy to trace. Also, as users of online game and smart device game which is focused recently are increasing, log data quantity are explosively increased and demands of analysis on not only bot information, but also statistical information which is necessary for game operation plan from log information. This paper examines bot program of online game, detection method and tendency of log data management technology for it. This paper introduces our method to detect game bots and manage game log data.
키워드
Big data, Bot detection, Game auto, Game bot, Game bot pattern, MMOG, MOG, Multiplayer online game, Pattern recognition
KSP 제안 키워드
Big Data, Bot Detection, Data Management, Data quantity, Detection Method, Game bot, Multiplayer Online Games, Operation plan, Pattern recognition, Smart devices, Statistical information