research-article

Survey and research direction on online game security

Authors:

Huy Kang KimAuthors Info & Claims

WASA '12: Proceedings of the Workshop at SIGGRAPH Asia

Pages 19 - 25

https://doi.org/10.1145/2425296.2425300

Published: 26 November 2012 Publication History

Abstract

Online game security is a newly emerging research area that is attracting considerable attention with the growth of the online game industry. There is an increasing need for online game service providers to detect and prevent the various threats associated with game bots and gold farmers. These illegal activities have become quite severe, and many online game service providers have fallen prey to them. These threats exist in popular multiplayer games where cyber assets can be monetized. In this study, we survey academic research efforts and industry practices related to these threats. In addition, we examine the actual illegal activities and look at countermeasures being adopted in the field.

References

[1]

A. Jain, A. R., and Prabhakar, S. 2004. An introduction to biometric recognition. In IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, 4--20.

Digital Library

[2]

A. Peacock, X. K., and Wilkerson, M. 2004. Typing patterns: A key to user identification. In IEEE Security and Privacy, vol. 2, 40--47.

Digital Library

[3]

A. R. Kang, J. Woo, J. P., and Kim, H. 2012. Online game bot detection based on party-play log analysis. Computer and Mathematics with Applications, in-press.

[4]

Chen, K., and Hong, L. 2007. User identification based on game-play activity patterns. In Proceedings of the 6th ACM SIGCOMM Workshop on Network and System Support for Games (NetGames '07), 7--12.

Digital Library

[5]

Davis, R. 2009. Welcome to the new gold mines. The Guardian.

[6]

Golle, P., and Ducheneaut, N. 2005. Preventing bots from playing online games. Computers in Entertainment (CIE) 3, 3--3.

Digital Library

[7]

Gunetti, D., and Picardi, C. 2005. Key stroke analysis of free text. ACM Transactions on Information System Security 8, 312--347.

Digital Library

[8]

H. K. Pao, H. Y. Lin, K. C., and Fadlil, J. 2011. Trajectory based behavior analysis for user verification. In Intelligent Data Engineering and Automated Learning (IDEAL 2010), LNCS, 316--323.

Digital Library

[9]

Hu, J., and Zambetta, F. 2008. Security issues in massive online games. Security and Communication Networks 1, 83--92.

[10]

J. Ki, J. C., and Kang, J. 2004. Taxonomy of online game security. The Electronic Library 22, 65--73.

Digital Library

[11]

J. Woo, H. C., and Kim, H. 2012. An automatic and proactive identity theft detection model in mmorpgs. Applied Mathematics and Information Sciences 6, 291S--302S.

[12]

J. J. Yan, H. C. 2002. Security issues in online games. The Electronic Library 20, 125--133.

[13]

K. Woo, H. Kwon, H. K. C. K., and Kim, H. 2011. What can free money tell us on the virtual black market? In Proceedings of the ACM SIGCOMM 2011 Conference, 392--393.

Digital Library

[14]

K. T. Chen, J. W. Jiang, P. H. H. C. C. L., and Chen, W. 2009. Identifying mmorpg bots: A traffic analysis approach. In Proceedings of the 2006 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology (ACE '06).

Digital Library

[15]

M. A. Ahmad, B. Keegan, J. S. D. W., and Contractor, N. 2009. Mining for gold farmers: Automatic detection of deviant players in mmogs. In Proceedings of the International Conference on Computational Science and Engineering, 340--345.

Digital Library

[16]

McGraw, G., and Chow, M. 2009. Securing online games: Safeguarding the future of software security. In IEEE Security and Privacy, vol. 7, 11--12.

Digital Library

[17]

Melnikov, N., and Schonwalder, J. 2010. Cybermetrics: User identification through network flow analysis. In Proceedings of the Mechanisms for Autonomous Management of Networks and Services, and 4th International Conference on Autonomous Infrastructure, Management and Security (AIMS'10), 167--170.

Digital Library

[18]

N. Chou, R. Ledesma, Y. T. D. B., and Mitchell, J. 2004. Client-side defense against web-based identity theft. In Proceedings of the 11th Annual Network and Distributed System Security Symposium (NDSS '04).

[19]

NCSoft. 2012. Ncsoft shut down private server with fbi. MMOSITE.COM, http://news.mmosite.com/content/2006-11-20/20061120190829155.shtml.

[20]

O. B. Gaspareto, D. B., and Schneider, A. 2008. Neural networks applied to speed cheating detection in online computer games. In Proceedings of the Fourth International Conference on Natural Computation (ICNC '08), 526--529.

Digital Library

[21]

Prasetya, K., and Wu, Z. 2010. Artificial neural network for bot detection system in mmogs. In Proceedings of the 9th Annual Workshop on Network and Systems Support for Games (NetGames '10).

Digital Library

[22]

R. Thawonmas, M. K., and Chen, K. 2007. Detection of landmarks for clustering of online-game players. International Journal of Virtual Reality 6, 11--16.

[23]

R. Thawonmas, Y. K., and Chen, K. 2008. Detection of mmorpg bots based on behavior analysis. In Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (ACE '08), 91--94.

Digital Library

[24]

S. Bono, D. Caselden, G. L., and Miller, C. 2009. Reducing the attack surface in massively multiplayer online role-playing games. In IEEE Security and Privacy, vol. 7, 13--19.

Digital Library

[25]

S. Gianvecchio, Z. Wu, M. X. H. W. 2009. Battle of botcraft: Fighting bots in online games with human observational proofs. In Proceedings of the 16th ACM Conference on Computer and Communications Security, 256--268.

Digital Library

[26]

S. Mitterhofer, C. Platzer, C. K., and Kirda, E. 2009. Server-side bot detection in massively multiplayer online games. In IEEE Security and Privacy, vol. 7, 29--36.

Digital Library

[27]

Webb, S., and Soh, S. 2007. Cheating in networked computer games: A review. DIMEA 07.

Digital Library

[28]

W. J. Wang, Y. Y., and Archer, N. 2006. A contextual framework for combating identity theft. In IEEE Security and Privacy, vol. 4, 30--38.

Digital Library

[29]

Yampolskiy, R., and Govindaraju, V. 2008. Embedded noninteractive continuous bot detection. Computers in Entertainment 5, 1--11.

Digital Library

[30]

Yan, J., and Randell, B. 2009. An investigation of cheating in online games. In IEEE Security and Privacy, vol. 7, 37--44.

Digital Library

[31]

Y. C. Chen, P. S. Chen, J. H. L. K. R. S., and Yee, G. 2005. An analysis of online gaming crime characteristics. Internet Research 15, 246--261.

Cited By

Mulakaluri TPuppala RYasmina CMadhavi PBalaji K. S. V(2024)Reviewing Cheating and Detection Techniques in Massively Multiplayer Online Role-Playing Games: A Systematic Analysis2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)10.1109/IConSCEPT61884.2024.10627799(1-6)Online publication date: 4-Jul-2024
https://doi.org/10.1109/IConSCEPT61884.2024.10627799
Lee SWoo JKim H(2024)Toxic Behaviors in Online GamingEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_241(1887-1892)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_241
Kim HWoo J(2024)Detecting and Preventing Online Game Bots in MMORPGsEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_13(577-584)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_13
Show More Cited By

Recommendations

Detecting and monitoring game bots based on large-scale user-behavior log data analysis in multiplayer online games

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 ...
Security beyond cybersecurity: side-channel attacks against non-cyber systems and their countermeasures
Abstract
Side-channels are unintended pathways within target systems that leak internal information, exploitable via side-channel attack techniques that extract the target information, compromising the system’s security and privacy. Side-channel attacks ...
Surgical strike: A novel approach to minimize collateral damage to game BOT detection
NetGames '13: Proceedings of Annual Workshop on Network and Systems Support for Games

Recently, real money trading (RMT) by gold farming groups (GFGs) in online games has increased. In particular, GFGs in massively multiplayer online role playing games (MMORPGs) illegally gather and distribute virtual goods and sell them for real money. ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

WASA '12: Proceedings of the Workshop at SIGGRAPH Asia

November 2012

178 pages

ISBN:9781450318358

DOI:10.1145/2425296

Conference Chairs:
Dinesh Manocha
University of North Carolina
,
Marianne Winslett
University of Illinois

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 November 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SA '12

Sponsor:

SIGGRAPH

SA '12: SIGGRAPH Asia 2012

November 26 - 27, 2012

Singapore, Singapore

Acceptance Rates

Overall Acceptance Rate 4 of 5 submissions, 80%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

21
Total Citations
View Citations
1,039
Total Downloads

Downloads (Last 12 months)42
Downloads (Last 6 weeks)5

Reflects downloads up to 28 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Mulakaluri TPuppala RYasmina CMadhavi PBalaji K. S. V(2024)Reviewing Cheating and Detection Techniques in Massively Multiplayer Online Role-Playing Games: A Systematic Analysis2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)10.1109/IConSCEPT61884.2024.10627799(1-6)Online publication date: 4-Jul-2024
https://doi.org/10.1109/IConSCEPT61884.2024.10627799
Lee SWoo JKim H(2024)Toxic Behaviors in Online GamingEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_241(1887-1892)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_241
Kim HWoo J(2024)Detecting and Preventing Online Game Bots in MMORPGsEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_13(577-584)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_13
Bourdoucen ANurgalieva LLindqvist J(2023)Privacy Is the Price: Player Views and Technical Evaluation of Data Practices in Online GamesProceedings of the ACM on Human-Computer Interaction10.1145/36110647:CHI PLAY(1136-1178)Online publication date: 29-Sep-2023
https://dl.acm.org/doi/10.1145/3611064
Anwar MZuo CYagemann CLin Z(2023)Extracting Threat Intelligence From Cheat Binaries For Anti-CheatingProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3607199.3607211(17-31)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3607199.3607211
Hu ZDing YWu RLi LZhang RHu YQiu FZhang ZWang KZhao SZhang YJiang JXi YPu JZhang WWang SChen KZhou TChen JSong YLv TFan C(2023)Deep learning applications in games: a survey from a data perspectiveApplied Intelligence10.1007/s10489-023-05094-253:24(31129-31164)Online publication date: 4-Dec-2023
https://doi.org/10.1007/s10489-023-05094-2
Lee SWoo JKim H(2023)Toxic Behaviors in Online GamingEncyclopedia of Computer Graphics and Games10.1007/978-3-319-08234-9_241-1(1-6)Online publication date: 4-Jul-2023
https://doi.org/10.1007/978-3-319-08234-9_241-1
Noh YJeong SKim H(2022)Trading Behind-the-Scene: Analysis of Online Gold Farming Network in the Auction House SystemIEEE Transactions on Games10.1109/TG.2021.309405414:3(423-434)Online publication date: Sep-2022
https://doi.org/10.1109/TG.2021.3094054
Han MKwak BKim H(2022)Cheating and Detection Method in Massively Multiplayer Online Role-Playing Game: Systematic Literature ReviewIEEE Access10.1109/ACCESS.2022.317211010(49050-49063)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3172110
Park SLee K(2021)Improved Mitigation of Cyber Threats in IIoT for Smart Cities: A New-Era Approach and SchemeSensors10.3390/s2106197621:6(1976)Online publication date: 11-Mar-2021
https://doi.org/10.3390/s21061976
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten