Privacy-preserving verifiable data aggregation and analysis for cloud-assisted mobile crowdsourcing
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7515093/7524326/07524547.pdf?arnumber=7524547
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
2. BAESDA: A Blockchain-Assisted Efficient and Secure Data Authentication Scheme for Distributed IoT Collection System;IEEE Sensors Journal;2024-04-15
3. DScPA: A Dynamic Subcluster Privacy-Preserving Aggregation Scheme for Mobile Crowdsourcing in Industrial IoT;IEEE Internet of Things Journal;2024-01-15
4. A Privacy-Preserving Data Aggregation Scheme Based on Chinese Remainder Theorem in Mobile Crowdsensing System;IEEE Systems Journal;2023-09
5. A Privacy-Preserving and Verifiable Statistical Analysis Scheme for an E-Commerce Platform;IEEE Transactions on Information Forensics and Security;2023
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