SybilRes:基于sybilr弹性流的去中心化声誉机制

Rahim Delaviz, N. Andrade, J. Pouwelse, D. Epema
{"title":"SybilRes:基于sybilr弹性流的去中心化声誉机制","authors":"Rahim Delaviz, N. Andrade, J. Pouwelse, D. Epema","doi":"10.1109/ICDCS.2012.28","DOIUrl":null,"url":null,"abstract":"Due to the possibility of cheap identity creation, decentralized online reputation mechanisms are susceptible to sybil attacks. Barter Cast is a reputation mechanism used in the Internet-deployed Tribler file-sharing client. In this paper we study the opportunities for sybil attacks in Barter Cast and we devise a method for making Barter Cast sybil resilient, which is incorporated in a protocol called Sybil Res. Like in Barter Cast, in Sybil Res each peer maintains a local subjective weighted directed graph reflecting data transfer actions in Tribler, from which it computes the reputations of other peers using a flow based algorithm taking the edge weights as flows. In Sybil Res, after an upload action, the uploading peer discounts the weights of the edges on the paths from the down loader to itself. As a consequence, due to the way reputations are computed, the reputation of a peer performing a sybil attack decreases fast. To mitigate the negative impact of edge weight discounting on the reputations of honest peers, after a download action, the downloading peer increases the weights of the edges on the paths from the up loader to itself. We demonstrate that Sybil Res is effective in practice by means of trace-driven simulations using data collected from the Tribler network. The results show that Sybil Res effectively marginalizes attackers while having a minimal effect on the reputations of honest peers.","PeriodicalId":6300,"journal":{"name":"2012 IEEE 32nd International Conference on Distributed Computing Systems","volume":"60 1","pages":"203-213"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"SybilRes: A Sybil-resilient Flow-Based Decentralized Reputation Mechanism\",\"authors\":\"Rahim Delaviz, N. Andrade, J. Pouwelse, D. Epema\",\"doi\":\"10.1109/ICDCS.2012.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the possibility of cheap identity creation, decentralized online reputation mechanisms are susceptible to sybil attacks. Barter Cast is a reputation mechanism used in the Internet-deployed Tribler file-sharing client. In this paper we study the opportunities for sybil attacks in Barter Cast and we devise a method for making Barter Cast sybil resilient, which is incorporated in a protocol called Sybil Res. Like in Barter Cast, in Sybil Res each peer maintains a local subjective weighted directed graph reflecting data transfer actions in Tribler, from which it computes the reputations of other peers using a flow based algorithm taking the edge weights as flows. In Sybil Res, after an upload action, the uploading peer discounts the weights of the edges on the paths from the down loader to itself. As a consequence, due to the way reputations are computed, the reputation of a peer performing a sybil attack decreases fast. To mitigate the negative impact of edge weight discounting on the reputations of honest peers, after a download action, the downloading peer increases the weights of the edges on the paths from the up loader to itself. We demonstrate that Sybil Res is effective in practice by means of trace-driven simulations using data collected from the Tribler network. The results show that Sybil Res effectively marginalizes attackers while having a minimal effect on the reputations of honest peers.\",\"PeriodicalId\":6300,\"journal\":{\"name\":\"2012 IEEE 32nd International Conference on Distributed Computing Systems\",\"volume\":\"60 1\",\"pages\":\"203-213\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 32nd International Conference on Distributed Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCS.2012.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 32nd International Conference on Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS.2012.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23

摘要

由于廉价的身份创建的可能性,分散的在线声誉机制很容易受到sybil攻击。物物交换是internet部署的Tribler文件共享客户端中使用的一种信誉机制。在本文中,我们研究了易货交换中sybil攻击的机会,并设计了一种使易货交换sybil具有弹性的方法,该方法被纳入一个名为sybil Res的协议中。与易货交换一样,在sybil Res中,每个对等点维护一个本地主观加权有向图,反映Tribler中的数据传输动作,它使用基于流的算法计算其他对等点的声誉,将边缘权重作为流。在Sybil Res中,上传操作完成后,上传节点会对从downloader到自己的路径上的边的权值进行折扣。因此,由于声誉的计算方式,执行符号攻击的同行的声誉会迅速下降。为了减轻边权折扣对诚实对等体声誉的负面影响,在下载操作之后,下载对等体增加从up加载器到自己的路径上的边权。我们通过使用从Tribler网络收集的数据进行跟踪驱动模拟,证明了Sybil Res在实践中是有效的。结果表明,Sybil Res有效地边缘化了攻击者,而对诚实同伴的声誉影响最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SybilRes: A Sybil-resilient Flow-Based Decentralized Reputation Mechanism
Due to the possibility of cheap identity creation, decentralized online reputation mechanisms are susceptible to sybil attacks. Barter Cast is a reputation mechanism used in the Internet-deployed Tribler file-sharing client. In this paper we study the opportunities for sybil attacks in Barter Cast and we devise a method for making Barter Cast sybil resilient, which is incorporated in a protocol called Sybil Res. Like in Barter Cast, in Sybil Res each peer maintains a local subjective weighted directed graph reflecting data transfer actions in Tribler, from which it computes the reputations of other peers using a flow based algorithm taking the edge weights as flows. In Sybil Res, after an upload action, the uploading peer discounts the weights of the edges on the paths from the down loader to itself. As a consequence, due to the way reputations are computed, the reputation of a peer performing a sybil attack decreases fast. To mitigate the negative impact of edge weight discounting on the reputations of honest peers, after a download action, the downloading peer increases the weights of the edges on the paths from the up loader to itself. We demonstrate that Sybil Res is effective in practice by means of trace-driven simulations using data collected from the Tribler network. The results show that Sybil Res effectively marginalizes attackers while having a minimal effect on the reputations of honest peers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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