A New Framework for Privacy-Preserving Aggregation of Time-Series Data

Abstract : Aggregator-oblivious encryption is a useful notion put forward by Shi et al. in 2011 that allows an untrusted aggregator to periodically compute an aggregate value over encrypted data contributed by a set of users. Such encryption schemes find numerous applications, in particular in the context of privacy-preserving smart metering. This paper presents a general framework for constructing privacy-preserving aggregator-oblivious encryption schemes using a variant of Cramer-Shoup's paradigm of smooth projective hashing. This abstraction leads to new schemes based on a variety of complexity assumptions. It also improves upon existing constructions, providing schemes with shorter ciphertexts and better encryption times.
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ACM Transactions on Information and System Security, Association for Computing Machinery, 2016, 18 (3), pp.21. 〈ACM〉. 〈10.1145/2873069〉
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Fabrice Benhamouda, Marc Joye, Benoît Libert. A New Framework for Privacy-Preserving Aggregation of Time-Series Data. ACM Transactions on Information and System Security, Association for Computing Machinery, 2016, 18 (3), pp.21. 〈ACM〉. 〈10.1145/2873069〉. 〈hal-01181321v3〉

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