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作 者:Xavier Bonnaire Erika Rosas
机构地区:[1]Departamento de Informatica,Universidad Tecnica Federico Santa Maria,Valparaiso,Chile [2]Laboratoire d'Informatique de Paris 6,Universite Pierre et Marie Curie,CNRS UMR 7606 INRIA REGAL,Paris,France
出 处:《Journal of Computer Science & Technology》2009年第5期844-854,共11页计算机科学技术学报(英文版)
基 金:supported by an INRIA/CONICYT French-Chilean cooperation project under Grant No.INRIA0703
摘 要:The growing number of popular peer to peer applications during the last five years has implied for researchers to focus on how to build trust in such very large scale distributed systems. Reputation systems have shown to be a very good solution to build trust in presence of malicious nodes. We propose in this paper a new metric for reputation systems on top of a Distributed Hash Table that uses a notion of risk to make the applications aware of certain behaviours of malicious nodes. We show that our metric is able to significantly reduce the number of malicious transactions, and that it also provides very strong resistance to several traditional attacks of reputations systems. We also show that our solution can easily scale, and can be adapted to various Distributed Hash Tables.The growing number of popular peer to peer applications during the last five years has implied for researchers to focus on how to build trust in such very large scale distributed systems. Reputation systems have shown to be a very good solution to build trust in presence of malicious nodes. We propose in this paper a new metric for reputation systems on top of a Distributed Hash Table that uses a notion of risk to make the applications aware of certain behaviours of malicious nodes. We show that our metric is able to significantly reduce the number of malicious transactions, and that it also provides very strong resistance to several traditional attacks of reputations systems. We also show that our solution can easily scale, and can be adapted to various Distributed Hash Tables.
关 键 词:peer to peer reputation system risk evaluation
分 类 号:TP393.02[自动化与计算机技术—计算机应用技术]
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