Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing: A Graph-based Approach

Author:

Wang Hengzhi1,Wang En1,Yang Yongjian1,Wu Jie2,Dressler Falko3

Affiliation:

1. Jilin University,College of Computer Science and Technology,China

2. Temple University,Department of Computer and Information Sciences,USA

3. TU Berlin,School of Electrical Engineering and Computer Science,German

Funder

Baidu

Publisher

IEEE

Reference34 articles.

Cited by 20 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. Online quality-based privacy-preserving task allocation in mobile crowdsensing;Computer Networks;2024-09

2. Combinatorial Incentive Mechanism for Bundling Spatial Crowdsourcing with Unknown Utilities;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

3. Bilateral Privacy Protection Scheme Based on Adaptive Location Generalization and Grouping Aggregation in Mobile Crowdsourcing;IEEE Internet of Things Journal;2024-05-15

4. MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. Maximizing the Total Utility of Requesters in Crowdsourcing;2024 10th IEEE International Conference on High Performance and Smart Computing (HPSC);2024-05-10

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