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Pyas: Pay for Your Aggregation Service—A Privacy Preserving Aggregation Protocol of Time-series Data

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Abstract

Mobile sensing can be used in many applications. In a mobile sensing system, the time-series data sensed by mobile users can be aggregated by a third-party device, which is called an aggregator. The aggregation statistics are very useful for guiding functions in various applications. Recently proposed privacy-preserving aggregation protocols can deal with untrusted aggregators, which are more common in real world than a trusted aggregator. In addition, some of these works have ideal communication models: uni-direction and one-round communication between the aggregator and each mobile user. This communication model minimizes the communication overhead and latency, making it very popular in real-world applications. However, in these recent works, if an aggregator uses up its aggregation services, the trusted authority needs to update the secret values of all the mobile users. Otherwise, the aggregator can still utilize the sensing system. This updating operation will cause large communication overhead of the sensing system, and will interrupt the system service for a while. To address this issue, this paper proposes a novel privacy-preserving aggregation protocol against an untrusted aggregator that the aggregator are not allowed to obtain the detailed sensed data of each mobile user in the sensing system. The protocol is novel because in our protocol, if an aggregator exhausts its aggregation services, no updating is required by each mobile user. And the trusted authority can better charge for the service provided to the aggregator and manage the payment more effectively. Our protocol has been compared with others, and the results show that ours performs better.

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  1. Hangzhou Vocational and Technical College, Hangzhou, 310018, China

    Weinan Liu

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Liu, W. Pyas: Pay for Your Aggregation Service—A Privacy Preserving Aggregation Protocol of Time-series Data. Wireless Pers Commun 132, 757–773 (2023). https://doi.org/10.1007/s11277-023-10637-4

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