Enhancing Cryptocurrency Blocklisting: A Secure, Trustless, and Effective Realization

Yuefeng Du, Anxin Zhou, Cong Wang
{"title":"Enhancing Cryptocurrency Blocklisting: A Secure, Trustless, and Effective Realization","authors":"Yuefeng Du, Anxin Zhou, Cong Wang","doi":"10.1109/ICDCS54860.2022.00112","DOIUrl":null,"url":null,"abstract":"The flourishing development of blockchain and cryptocurrency has made it a hotbed for cyber-criminals to implement virtually untraceable scams. Consequently, the blockchain ecosystem urgently needs an effective method to help users stay away from scams in order to create an enticing investment environment. Despite the massive deployment of blocklist query APIs for malicious and scam domains/URLs in the industry, we identify two core reasons why existing blocklist services find it difficult to thrive in the cryptocurrency paradigm: 1) the compelling need to protect a user query due to sensitivity and high value of query content, i.e., payment addresses; 2) the thorny issue of evaluating the quality of blocklists effectively, in the face of common practices of incompetent providers.To this end, we first provide a private and highly efficient blocklist query scheme as a basic design, which conveniently achieves backward compatibility with current blockchain payment systems at a considerably low cost. Based on this design, we propose a new framework for shareholders to evaluate the quality of blocklists. Our framework provides stronger security guarantees than other similar works, as it is capable of suppressing both individual biasing and coercive manipulation at the same time. We provide a complete game-theoretic analysis and demonstrate comprehensive evaluation results to confirm the effectiveness and efficiency of our solutions, under the settings of a practical number of shareholders.","PeriodicalId":225883,"journal":{"name":"2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)","volume":"303 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS54860.2022.00112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The flourishing development of blockchain and cryptocurrency has made it a hotbed for cyber-criminals to implement virtually untraceable scams. Consequently, the blockchain ecosystem urgently needs an effective method to help users stay away from scams in order to create an enticing investment environment. Despite the massive deployment of blocklist query APIs for malicious and scam domains/URLs in the industry, we identify two core reasons why existing blocklist services find it difficult to thrive in the cryptocurrency paradigm: 1) the compelling need to protect a user query due to sensitivity and high value of query content, i.e., payment addresses; 2) the thorny issue of evaluating the quality of blocklists effectively, in the face of common practices of incompetent providers.To this end, we first provide a private and highly efficient blocklist query scheme as a basic design, which conveniently achieves backward compatibility with current blockchain payment systems at a considerably low cost. Based on this design, we propose a new framework for shareholders to evaluate the quality of blocklists. Our framework provides stronger security guarantees than other similar works, as it is capable of suppressing both individual biasing and coercive manipulation at the same time. We provide a complete game-theoretic analysis and demonstrate comprehensive evaluation results to confirm the effectiveness and efficiency of our solutions, under the settings of a practical number of shareholders.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
增强加密货币黑名单:安全,无信任和有效的实现
区块链和加密货币的蓬勃发展使其成为网络犯罪分子实施几乎无法追踪的骗局的温床。因此,区块链生态系统迫切需要一种有效的方法来帮助用户远离骗局,以创造一个诱人的投资环境。尽管行业中大量部署了针对恶意和诈骗域名/ url的黑名单查询api,但我们确定了现有黑名单服务难以在加密货币范式中茁壮成长的两个核心原因:1)由于查询内容的敏感性和高价值,迫切需要保护用户查询,即支付地址;2)面对无能提供商的常见做法,如何有效评估黑名单的质量这一棘手问题。为此,我们首先提供了一种私有且高效的区块链查询方案作为基本设计,以相当低的成本方便地实现了与当前区块链支付系统的向后兼容。基于这一设计,我们提出了一个新的框架,供股东评估黑名单的质量。我们的框架提供了比其他类似作品更强的安全保障,因为它能够同时抑制个人偏见和强制操纵。我们提供了完整的博弈论分析,并展示了综合评价结果,以确认我们的解决方案的有效性和效率,在实际股东数量的设置下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Nezha: Exploiting Concurrency for Transaction Processing in DAG-based Blockchains Toward Cleansing Backdoored Neural Networks in Federated Learning Themis: An Equal, Unpredictable, and Scalable Consensus for Consortium Blockchain IoDSCF: A Store-Carry-Forward Routing Protocol for joint Bus Networks and Internet of Drones FlowValve: Packet Scheduling Offloaded on NP-based SmartNICs
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1