On trust models and trust evaluation metrics for ad hoc networks

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On trust models and trust evaluation metrics for ad hoc networks (2006)

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by George Theodorakopoulos , John S. Baras

Venue:	IEEE Journal on Selected Areas in Communications
Citations:	87 - 8 self

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@ARTICLE{Theodorakopoulos06ontrust,
    author = {George Theodorakopoulos and John S. Baras},
    title = {On trust models and trust evaluation metrics for ad hoc networks},
    journal = {IEEE Journal on Selected Areas in Communications},
    year = {2006},
    volume = {24},
    pages = {318--328}
}

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Abstract

Abstract—Within the realm of network security, we interpret the concept of trust as a relation among entities that participate in various protocols. Trust relations are based on evidence created by the previous interactions of entities within a protocol. In this work, we are focusing on the evaluation of trust evidence in ad hoc networks. Because of the dynamic nature of ad hoc networks, trust evidence may be uncertain and incomplete. Also, no preestablished infrastructure can be assumed. The evaluation process is modeled as a path problem on a directed graph, where nodes represent entities, and edges represent trust relations. We give intuitive requirements and discuss design issues for any trust evaluation algorithm. Using the theory of semirings, we show how two nodes can establish an indirect trust relation without previous direct interaction. We show that our semiring framework is flexible enough to express other trust models, most notably PGP’s Web of Trust. Our scheme is shown to be robust in the presence of attackers. Index Terms—Trust evaluation, trust metric, trust model, semiring. I.

Keyphrases

ad hoc network trust model trust evaluation metric trust evidence various protocol network security index term trust evaluation path problem directed graph evaluation process indirect trust relation previous direct interaction trust evaluation algorithm intuitive requirement discus design issue preestablished infrastructure previous interaction trust relation dynamic nature represent trust relation

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