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VeraGreg: A Framework for Verifiable Privacy-Preserving Data Aggregation
2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
There are several recent research studies on privacy-preserving aggregation of time series data, where an aggregator computes an aggregation of multiple users' data without learning each individual's private input value. However, none of the existing schemes allows the aggregation result to be verified for integrity. In this paper, we present a new data aggregation scheme that protects user privacy as well as integrity of the aggregation. Towards this end, we first propose an aggregatedoi:10.1109/trustcom/bigdatase.2018.00275 dblp:conf/trustcom/KlemsaKV18 fatcat:wraitq6gs5g4zcooh34ocbwyti