基于矢量的P2P电子商务信任模型

Qian Wang, Lifang Wang
{"title":"基于矢量的P2P电子商务信任模型","authors":"Qian Wang, Lifang Wang","doi":"10.1109/ICNC.2008.616","DOIUrl":null,"url":null,"abstract":"Many current P2P trust models are not suitable for P2P e-commerce because the characteristics of P2P e-commerce are not taken into account. In addition, the simple representation of trust cannot be used to accurately gain assess to other peers in the e-commerce community because of the diversity and subjectivity of trust. In order to evaluate the peers for each other, this paper developed a vector-based trust model named VBTMod. There are two main features of the model. First, the specialty and complexity of e-commerce are considered and it reflects the characteristics of P2P e-commerce. Second, the trust is expressed with vector, which includes various factors of trust in e-commerce. With this model it is easier to extract useful information from the trust and accurately gain assess to other peers. Accordingly, the paper proposed a few assessment approaches for vector trust and strategies to defend attack. Simulation results show that VBTMod enables peers to have more accurate assessment to other peers according to their own needs and effectively defends a variety of attacks. Consequently the model can effectively reduce the risk in transactions.","PeriodicalId":6404,"journal":{"name":"2008 Fourth International Conference on Natural Computation","volume":"88 1","pages":"117-123"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Vector-Based Trust Model for P2P E-commerce\",\"authors\":\"Qian Wang, Lifang Wang\",\"doi\":\"10.1109/ICNC.2008.616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many current P2P trust models are not suitable for P2P e-commerce because the characteristics of P2P e-commerce are not taken into account. In addition, the simple representation of trust cannot be used to accurately gain assess to other peers in the e-commerce community because of the diversity and subjectivity of trust. In order to evaluate the peers for each other, this paper developed a vector-based trust model named VBTMod. There are two main features of the model. First, the specialty and complexity of e-commerce are considered and it reflects the characteristics of P2P e-commerce. Second, the trust is expressed with vector, which includes various factors of trust in e-commerce. With this model it is easier to extract useful information from the trust and accurately gain assess to other peers. Accordingly, the paper proposed a few assessment approaches for vector trust and strategies to defend attack. Simulation results show that VBTMod enables peers to have more accurate assessment to other peers according to their own needs and effectively defends a variety of attacks. Consequently the model can effectively reduce the risk in transactions.\",\"PeriodicalId\":6404,\"journal\":{\"name\":\"2008 Fourth International Conference on Natural Computation\",\"volume\":\"88 1\",\"pages\":\"117-123\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Fourth International Conference on Natural Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2008.616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Fourth International Conference on Natural Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2008.616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

由于没有考虑到P2P电子商务的特点,现有的许多P2P信任模型都不适合P2P电子商务。此外,由于信任的多样性和主观性,不能用简单的信任表示来准确地获得对电子商务社区中其他同伴的评价。为了对对等体进行相互评价,本文开发了一个基于向量的信任模型VBTMod。该模型有两个主要特征。首先考虑了电子商务的特殊性和复杂性,体现了P2P电子商务的特点。其次,用向量表示信任,向量包含了电子商务中各种信任因素。使用该模型可以更容易地从信任中提取有用的信息,并准确地获得对其他对等体的评估。在此基础上,提出了几种向量信任评估方法和防御攻击的策略。仿真结果表明,VBTMod可以使对等体根据自身需求对其他对等体进行更准确的评估,有效防御各种攻击。因此,该模型可以有效地降低交易中的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Vector-Based Trust Model for P2P E-commerce
Many current P2P trust models are not suitable for P2P e-commerce because the characteristics of P2P e-commerce are not taken into account. In addition, the simple representation of trust cannot be used to accurately gain assess to other peers in the e-commerce community because of the diversity and subjectivity of trust. In order to evaluate the peers for each other, this paper developed a vector-based trust model named VBTMod. There are two main features of the model. First, the specialty and complexity of e-commerce are considered and it reflects the characteristics of P2P e-commerce. Second, the trust is expressed with vector, which includes various factors of trust in e-commerce. With this model it is easier to extract useful information from the trust and accurately gain assess to other peers. Accordingly, the paper proposed a few assessment approaches for vector trust and strategies to defend attack. Simulation results show that VBTMod enables peers to have more accurate assessment to other peers according to their own needs and effectively defends a variety of attacks. Consequently the model can effectively reduce the risk in transactions.
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