Abstract
Previous studies have been suggestive of the fact that reputation ratings may be provided in a strategic manner for reasons of reciprocation and retaliation, and therefore may not properly reflect the trustworthiness of rated parties. It thus appears that supporting privacy of feedback providers could improve the quality of their ratings. We argue that supporting perfect privacy in decentralized reputation systems is impossible, but as an alternative present three probabilistic schemes that support partial privacy. On the basis of these schemes, we offer three protocols that allow ratings to be privately provided with high probability in decentralized additive reputation systems. © Springer-Verlag 2004.
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CITATION STYLE
Pavlov, E., Rosenschein, J. S., & Topol, Z. (2004). Supporting privacy in decentralized additive reputation systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2995, 108–119. https://doi.org/10.1007/978-3-540-24747-0_9
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