TrustMe: anonymous management of trust relationships in decentralized P2P systems

By Aameek Singh, Ling Liu. International Conference on Peer-to-Peer Computing, 2003

338 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Integrating Conflicting Data: The Role of Source Dependence (2009, background): “EigenTrust [7] and TrustMe [11] assign a global trust rating to each data source based on its behavior in a P2P network.”
Taxonomy of trust: Categorizing P2P reputation systems (2006, background): “TrustMe [26], for example, requires that both parties in a transaction sign a transaction certificate that is then presented when reporting on the outcome of the transaction.”
A survey of attack and defense techniques for reputation systems (2009, methodology): “Manual sources are obtained from human feedback, usually in the form of user ratings of other identities based on the results of a single transaction such as the feedback within eBay [3], a specific time period [18], or arbitrary feedback [19].”
PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing (2007, background): “Instead, most existing P2P reputation systems calculate the global reputation scores by aggregating peer feedbacks in a fully distributed manner [1], [3], [6], [13], [15], [26], [29], [30], [34], [36].”
Survey of research towards robust peer-to-peer networks: Search methods (2006, background): “Security Character [172-182] Identity Reputation and Trust Incentives Goals [25, 27, 71, 183-197] Availability Authenticity Anonymity Access Control Fair Trading”