K. Park, Kideok Cho, Dookyoon Han, T. Kwon, Sangheon Pack
{"title":"Proof of Delivery in a Trustless Network","authors":"K. Park, Kideok Cho, Dookyoon Han, T. Kwon, Sangheon Pack","doi":"10.1109/BLOC.2019.8751417","DOIUrl":null,"url":null,"abstract":"We propose a novel proof of delivery (PoD) mechanism to incentivize peers to participate in peer-to-peer content delivery services in a secure and effective fashion. By analyzing transaction records on a blockchain, the PoD can detect a fraudulent peer which does not pay for its content retrieval. Moreover, the PoD can enhance the delivery performance of a trustworthy peer by substantiating the notion of a trust window, whose size is proportional to the trustworthiness of a peer. That is, a trustworthy peer will experience enhanced delivery performance while a fraudulent one will be isolated from the network, which is checked by simulation results.","PeriodicalId":314490,"journal":{"name":"2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BLOC.2019.8751417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We propose a novel proof of delivery (PoD) mechanism to incentivize peers to participate in peer-to-peer content delivery services in a secure and effective fashion. By analyzing transaction records on a blockchain, the PoD can detect a fraudulent peer which does not pay for its content retrieval. Moreover, the PoD can enhance the delivery performance of a trustworthy peer by substantiating the notion of a trust window, whose size is proportional to the trustworthiness of a peer. That is, a trustworthy peer will experience enhanced delivery performance while a fraudulent one will be isolated from the network, which is checked by simulation results.