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Abstract
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Countless Internet applications and platforms make it easy to       communicate, to collaborate and to exchange information and opinions       with a huge number of individuals.  However, it is getting more and       more difficult to distinguish honest and reliable individuals from       malicious users distributing false information or malware.  Digital       signatures, webs of trust and reputation systems can help to       securely identify communication partners and to estimate the       trustworthiness of others, but there is a lack of trust and       authenticity evaluation methods that do not show counterintuitive       effects in the case of conflicting opinions.  This article proposes       a new integrated method to evaluate uncertain and conflicting trust       and authenticity statements.  It introduces a set of operators and       inference rules for combining and reasoning with these statements,       it defines an approach to compute the resulting confidence values of       derived statements and it compares different computation algorithms.       The computation is based on a probability theoretical model in order       to exclude inconsistencies and counter-intuitive effects.
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Reference entry
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Gutscher, A.
A Method to Evaluate Uncertain and Conflicting Trust and Authenticity Statements
Proceedings of the 1st International Workshop on Managing Insider Security Threats (MIST 2009), West Lafayette, June 2009, pp. 62-82
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