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Title:
Low-cost anonymous reputation update for IoT applications
Authors: Alex Shafarenko
Abstract:This paper presents a novel approach to zero-trust anonymous reputation update in crowd sensing IoT applications. We use a suite of cryptographic functions to achieve anonymity, including unlinkability of sensing reports to the principals that submit them and to one another, while enabling the infrastructure to reliably quantify the degree of trust expressed as a reputation level. The protocol is low-cost for the anonymous participant due to the use of cheap standard algorithms: low-exponent modular exponentia- tion and cryptographic hashing, which makes it quite suitable for IoT.
ePrint: https://eprint.iacr.org/2025/1105
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