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Table I. A Classification of Current Peer-to-Peer Systems (RM: Resource Management; CR: Censorship Resistance; PS: Performance and Scalability; SPE: Security, Privacy and Encryption; A: Anonymity; RA: Reputation and Accountability; RT: Resource Trading.)

in A survey of peer-to-peer content distribution technologies
by Stephanos Androutsellis-theotokis, Diomidis Spinellis 2004
Cited by 96

Table 1 Breakdown of Reputation System Components Reputation Systems

in Abstract Taxonomy of Trust: Categorizing P2P Reputation Systems ⋆
by Sergio Marti, Hector Garcia-molina
"... In PAGE 2: ... These issues determine the necessary properties and powers of the reputation system. Next, we break down the functionality of a reputation system into the three components shown in Table1 . In general, a reputation system assists agents in choosing a reliable peer (if possible) to transact with when one or more have o ered the agent a service or resource.... In PAGE 3: ...mation gathering), scores and ranks the peers based on expected reliability (scoring and ranking), and allows the system to take action against malicious peers while rewarding contributors (response). Each component requires sep- arate system mechanisms (listed in Table1 ). For each mechanism we study the possible desired properties and then discuss the implementation limita- tions and trade-o s that may prevent some of the properties from being met.... ..."

Table 2: Reputation Source Populations

in Coping with inaccurate reputation sources: Experimental analysis of a probabilistic trust model
by W. T. Luke Teacy, Jigar Patel, Nicholas R. Jennings, Michael Luck, Multiagent Systems 2005
"... In PAGE 6: ... To show variation in performance depending on reputa- tion source behaviour, we ran experiments with populations containing accurate and lying reputation sources, and popu- lations containing accurate and noisy sources. In each case, we kept the total number of sources equal to 20, but ran separate experiments in which the percentage of accurate sources was set to 0%, 50% and 100% (see Table2 ). Now figure 3 shows the mean estimation error of TRAVOS and TRAVOS vs BRS with Noisy Sources no.... ..."
Cited by 20

Table 1 Comparison of reputation systems

in Collaborative Reputation Mechanisms in Electronic Marketplaces
by Giorgos Zacharia, Alexandros Moukas, Ros Moukas, Pattie Maes 1999
Cited by 64

Table 1. Definition of reputation variables Reputation Variable Definition

in On the Development of an Internetwork-centric Defense for Scanning Worms
by Scott E. Coull

Table 2. Reputation Source Populations

in TRAVOS: Trust and reputation in the context of inaccurate information sources
by W. T. Luke Teacy, Jigar Patel, Nicholas R. Jennings, Michael Luck 2006
Cited by 17

Table 1: Assessment of price and reputation

in A Prototype for an Agent-based Secure Electronic Marketplace including Reputation Tracking Mechanisms
by Boris Padovan, Stefan Sackmann, Torsten Eymann 2001
Cited by 9

Table 1: Assessment of price and reputation

in A Prototype for an Agent-based Secure Electronic Marketplace including Reputation Tracking Mechanisms
by Boris Padovan, Stefan Sackmann, Torsten Eymann, Ingo Pippow 2001
Cited by 9

Table 1: Rankings of reputation profiles

in Reputation, Trust, and Rebates: How Online Auction Markets Can Improve Their Feedback Mechanisms
by Lingfang Ivy Li 2006
"... In PAGE 16: ...Asymmetric Reporting Cost (CGR negationslash = CBR gt; 0) Third, let us see what will happen if buyers bear different cost for submitting good reports versus bad reports. Suppose there are three sellers in the market, and the Table1 shows their ratings... ..."

Table 2: Examples of reputation evidence

in Towards Security Evaluation BASED ON EVIDENCE COLLECTION
by Reijo Savola
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