{"title":"A Proposal for the Security of Peer-to-Peer (P2P) Networks: a pricing model inspired by the theory of complex networks","authors":"Daniel O. Rice","doi":"10.1109/CISS.2007.4298420","DOIUrl":null,"url":null,"abstract":"This short research note proposes a peer-to-peer (P2P) network security pricing model that promotes the growth of P2P networks with an increased resistance to malicious code propagation. The security pricing model integrates findings from recent developments in complex network theory with incentive compatible pricing. The model links file download prices in P2P networks with a metric called the Pearson coefficient. The calculation of the Pearson coefficient indicates a structural dimension of networks called \"preferential attachment\". The security pricing model employs a mechanism that charges nodes (network users) higher prices for choosing \"bad\" links, that is links that decrease the Pearson coefficient, because these links inhibit preferential attachment in networks and ultimately degrade networks' resistance to malicious code propagation. The security pricing model provides incentives for nodes to choose the lower priced \"good\" links (that is, links that increase the Pearson coefficient). Continuing research will focus on formalizing and validating the P2P network security model. Simulation will be used to test the resistance of networks grown under this model to malicious code propagation. We demonstrate a different approach to P2P network security and hope that the final analysis will provide insights and provide a significant contribution to the future study of the security of distributed transient networks (DTN) including P2P, ad hoc, and other computer based networks.","PeriodicalId":151241,"journal":{"name":"2007 41st Annual Conference on Information Sciences and Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 41st Annual Conference on Information Sciences and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2007.4298420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This short research note proposes a peer-to-peer (P2P) network security pricing model that promotes the growth of P2P networks with an increased resistance to malicious code propagation. The security pricing model integrates findings from recent developments in complex network theory with incentive compatible pricing. The model links file download prices in P2P networks with a metric called the Pearson coefficient. The calculation of the Pearson coefficient indicates a structural dimension of networks called "preferential attachment". The security pricing model employs a mechanism that charges nodes (network users) higher prices for choosing "bad" links, that is links that decrease the Pearson coefficient, because these links inhibit preferential attachment in networks and ultimately degrade networks' resistance to malicious code propagation. The security pricing model provides incentives for nodes to choose the lower priced "good" links (that is, links that increase the Pearson coefficient). Continuing research will focus on formalizing and validating the P2P network security model. Simulation will be used to test the resistance of networks grown under this model to malicious code propagation. We demonstrate a different approach to P2P network security and hope that the final analysis will provide insights and provide a significant contribution to the future study of the security of distributed transient networks (DTN) including P2P, ad hoc, and other computer based networks.
这篇简短的研究报告提出了一种P2P网络安全定价模型,该模型促进了P2P网络的发展,并增强了对恶意代码传播的抵抗力。证券定价模型将复杂网络理论的最新发展成果与激励相容定价相结合。该模型将P2P网络中的文件下载价格与一个称为皮尔逊系数的指标联系起来。皮尔逊系数的计算表明,网络的一个结构维度被称为“优先依恋”。安全定价模型采用一种机制,向选择“坏”链接的节点(网络用户)收取更高的价格,即降低皮尔逊系数的链接,因为这些链接抑制了网络中的优先依恋,最终降低了网络对恶意代码传播的抵抗力。证券定价模型为节点选择价格较低的“好”链接(即增加皮尔逊系数的链接)提供了激励。继续的研究将集中于形式化和验证P2P网络安全模型。仿真将用于测试在该模型下生长的网络对恶意代码传播的抵抗力。我们展示了一种不同的P2P网络安全方法,并希望最终的分析将提供见解,并为分布式瞬态网络(DTN)的安全性的未来研究提供重大贡献,包括P2P, ad hoc和其他基于计算机的网络。