Minecraft tunnels for covert communications

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS
Nathan Tusing, Jonathan Oakley, Chunpeng Shao, Lu Yu, Richard Brooks
{"title":"Minecraft tunnels for covert communications","authors":"Nathan Tusing,&nbsp;Jonathan Oakley,&nbsp;Chunpeng Shao,&nbsp;Lu Yu,&nbsp;Richard Brooks","doi":"10.1016/j.entcom.2025.100924","DOIUrl":null,"url":null,"abstract":"<div><div>Although bots carry negative connotations in wider internet usage, video game bots can be helpful to users by automating rote tasks. In this work, we augment Minecraft bots to provide privacy by tunneling traffic to anonymity services. We then analyze our bot design using performance metrics and detection techniques, including the chi-square test on action distributions and Shannon’s Entropy on byte streams. These bots create game sessions and embed Internet traffic into Minecraft actions. Hidden Markov Models (HMMs) were trained on human gameplay. These HMMs were then embedded into the client and proxy to generate realistic action sequences. Using a Minecraft server to run the game enforces protocol rules and mitigates problems associated with mimicry-based circumvention. The prototype interfaces with several existing censorship circumvention tools, the HMMs generate Minecraft action sequences matching live gameplay sequences, and the prototype achieves a 350 kBit/s transfer rate. Other contributions include an action sequence dataset for Minecraft and examples of bot detection techniques.</div></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"53 ","pages":"Article 100924"},"PeriodicalIF":2.8000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Entertainment Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1875952125000047","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0

Abstract

Although bots carry negative connotations in wider internet usage, video game bots can be helpful to users by automating rote tasks. In this work, we augment Minecraft bots to provide privacy by tunneling traffic to anonymity services. We then analyze our bot design using performance metrics and detection techniques, including the chi-square test on action distributions and Shannon’s Entropy on byte streams. These bots create game sessions and embed Internet traffic into Minecraft actions. Hidden Markov Models (HMMs) were trained on human gameplay. These HMMs were then embedded into the client and proxy to generate realistic action sequences. Using a Minecraft server to run the game enforces protocol rules and mitigates problems associated with mimicry-based circumvention. The prototype interfaces with several existing censorship circumvention tools, the HMMs generate Minecraft action sequences matching live gameplay sequences, and the prototype achieves a 350 kBit/s transfer rate. Other contributions include an action sequence dataset for Minecraft and examples of bot detection techniques.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Entertainment Computing
Entertainment Computing Computer Science-Human-Computer Interaction
CiteScore
5.90
自引率
7.10%
发文量
66
期刊介绍: Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信