Abstract—In this paper, we propose FairCrowd, a private, fair, and verifiable framework for aggregate statistics in mobile crowdsensing based on the public ...
Jul 19, 2020 · Abstract:In this paper, we propose FairCrowd, a private, fair, and verifiable framework for aggregate statistics in mobile crowdsensing ...
In this paper, we propose FairCrowd, a private, fair, and verifiable framework for aggregate statistics in mobile crowdsensing based on the public ...
Jul 19, 2020 · FairCrowd is proved to achieve verifiable aggregate statistics with privacy preservation for mobile users and the fairness of incentive is ...
In this paper, we integrate blockchain and edge computing in the mobile crowdsensing scenario to construct a credible and efficient blockchain-based mobile ...
Jul 28, 2020 · Bibliographic details on Private, Fair, and Verifiable Aggregate Statistics for Mobile Crowdsensing in Blockchain Era.
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Private, Fair, and Verifiable Aggregate Statistics for Mobile Crowdsensing in Blockchain Era ... Aggregate Statistics for Mobile Crowdsensing in Blockchain Era ...
In this paper, we design two schemes for privacy-preserving aggregation of mobile crowdsensing data where the aggregator services are modeled as a smart ...
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Private, Fair, and Verifiable Aggregate Statistics for Mobile Crowdsensing in Blockchain Era ... Aggregate Statistics for Mobile Crowdsensing in Blockchain Era ...
We propose a smart contract-based privacy-preserving data aggregation and quality assessment protocol to infer reliable aggregated results and estimate data ...