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Authors
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Funding
Funding for this research was provided by:
National Key R&D Program of China (2018YFB2100400)
Key Research and Development Program of Shaanxi (2019ZDLGY13-03-01, 2021ZDLGY07-05)
Innovation Capability Support Program of Shaanxi (2020CGXNG-002)
Fundamental Research Funds for the Central Universities (JB210306)
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Article History
Accepted: 20 September 2022
First Online: 7 March 2023
Declarations
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: This paper concerns an expansion of previous work []. Building on previous work, we explore a task-based personalized privacy-preserving participant selection mechanism for mobile crowdsensing, which can securely select participating users based on the attribute vector of the task while providing personalized privacy protection for users. There are numerous major additions to this work as compared to the preliminary version: 1)During the aggregation process, we completely address the unique privacy protection requirements of distinct users and demonstrate the efficacy of our solution. 2) We run simulations to evaluate and compare our suggested solution to existing ones.
: There are no conflicts of interest declared by the authors.
