Embedded noninteractive continuous bot detection

Author:

Yampolskiy Roman V.1,Govindaraju Venu1

Affiliation:

1. University at Buffalo, Buffalo

Abstract

Multiplayer online computer games are quickly growing in popularity, with millions of players logging in every day. While most play in accordance with the rules set up by the game designers, some choose to utilize artificially intelligent assistant programs, a.k.a. bots, to gain an unfair advantage over other players. In this article we demonstrate how an embedded noninteractive test can be used to prevent automatic artificially intelligent players from illegally participating in online game-play. Our solution has numerous advantages over traditional tests, such as its nonobtrusive nature, continuous verification, and simple noninteractive and outsourcing-proof design.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications

Reference58 articles.

1. Aboufadel E. F. Olsen J. and Windle J. 2005. Breaking the Holiday Inn priority club CAPTCHA. College Mathematics J. (March). Aboufadel E. F. Olsen J. and Windle J. 2005. Breaking the Holiday Inn priority club CAPTCHA. College Mathematics J. (March).

2. Ahn L. V. Blum M. and Langford J. 2004. How lazy cryptographers do AI. Communications of the ACM (Feb.). Ahn L. V. Blum M. and Langford J. 2004. How lazy cryptographers do AI. Communications of the ACM (Feb.).

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detecting and Preventing Online Game Bots in MMORPGs;Encyclopedia of Computer Graphics and Games;2024

2. NGUARD+;ACM Transactions on Knowledge Discovery from Data;2020-10-06

3. NGUARD;Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining;2018-07-19

4. A time series classification approach to game bot detection;Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics;2017-06-19

5. Dissecting a Social Botnet;Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing;2015-02-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3