Trust and Reputation Systems

Jøsang, Audun

doi:10.1007/978-3-540-74810-6_8

Cited by 139 publications

(150 citation statements)

References 27 publications

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“…Josang et al [8] define trust as the extent to which a given party is willing to depend on something or somebody in a given situation with a feeling of relative security. In our approach, RPs make a decision about the certificate trustworthiness based on its trust level.…”

Section: Trust and Reputation Conceptsmentioning

confidence: 99%

“…As mentioned previously, computing TLoCERT is based on three parameters that are the CPQ, TLoCA, and RoCERT.We calculate it using the weighted average method, as given in the following equation: (8) Where w1=0.2, w2=0.4, and w3=0.4 are the assigned weights and ∑wi equals to 1. These weights define the impact of these parameters on the TLoCERT calculation.…”

Section: Calculating the Tlocertmentioning

confidence: 99%

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Calculating Trust Level of X.509 Certificates

Uahhabi¹,

Bakkali²

2016

JITST

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Section: Trust and Reputation Conceptsmentioning

confidence: 99%

Section: Calculating the Tlocertmentioning

confidence: 99%

Calculating Trust Level of X.509 Certificates

Uahhabi¹,

Bakkali²

2016

JITST

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“…A user who starts acting unfair must lose reputation quickly and old feedbacks will have little influence on the reputation value. This will minimize the quality variations over time problem (see survey [6] for details) or event prevent playbooks attack (see [5] for details).…”

Section: Motivationsmentioning

confidence: 99%

Hidden and Indirect (Probabilistically Estimated) Reputations - Hiper Method

Leszczyński¹,

Zakrzewicz

2015

Foundations of Computing and Decision Sciences

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Abstract. It is a challenge to design a well balanced reputation system for an environment with millions of users. A reputation system must also represent user reputation as a value which is simple and easy to compare and will give users straightforward suggestions who to trust. Since reputation systems rely on feedbacks given by users, it is necessary to collect unbiased feedbacks.In this paper we present a controversial, yet innovative reputation system. Hidden and Indirect (Probabilistically Estimated) Reputations -HIPER Method splits user reputation into two related values: Hidden Reputation (HR) is directly calculated from a set of feedbacks, Indirect Reputation (IR) is a probabilistically estimated projection of the hidden reputation and its value is public. Such indirect connection between received feedbacks and a visible reputation value allows users to provide unbiased feedbacks without fear of retaliation.

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“…We refer to existing surveys [15,14,11] for a general introduction to reputation systems. It is interesting to notice that the reputation system associated with our calculus can be classified, according to [15], as a non-probabilistic experiencebased system, where principals are evaluated by inspecting their history, which is built by recording their past interaction with other principals.…”

Section: Conclusion and Related Workmentioning

confidence: 99%

A Reputation System for Multirole Sessions

Bono

Capecchi

Castellani

et al. 2012

Trustworthy Global Computing

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Abstract. We extend role-based multiparty sessions with reputations and policies associated with principals. The reputation associated with a principal in a service is built by collecting her relevant behaviour as a participant in sessions of the service. The service checks the reputation of principals before allowing them to take part in a session, also according to the role they want to play. Furthermore, principals can declare policies that must be fulfilled by the other participants of the same service. These policies are used by principals to check the reputation of the current participants and to decide whether or not to join the service. We illustrate the use of our approach with an example describing a real-world protocol.

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Trust and Reputation Systems

Cited by 139 publications

References 27 publications

Calculating Trust Level of X.509 Certificates

Calculating Trust Level of X.509 Certificates

Hidden and Indirect (Probabilistically Estimated) Reputations - Hiper Method

A Reputation System for Multirole Sessions

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