A Novel Location Privacy-Preserving Task Allocation Scheme for Spatial Crowdsourcing

2021 ◽  
pp. 304-322
Author(s):  
Xuelun Huang ◽  
Shaojing Fu ◽  
Yuchuan Luo ◽  
Liu Lin
Keyword(s):  
Task Allocation ◽  
Location Privacy ◽  
Privacy Preserving ◽  
Allocation Scheme ◽  
Spatial Crowdsourcing

scholarly journals A Dual Privacy Preserving Algorithm in Spatial Crowdsourcing

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Shengxiang Wang ◽  
Xiaofan Jia ◽  
Qianqian Sang
Keyword(s):  
Waiting Time ◽  
Task Allocation ◽  
Privacy Protection ◽  
Privacy Preserving ◽  
Smart Devices ◽  
Location Information ◽  
Spatial Crowdsourcing ◽  
Allocation Efficiency ◽  
And Task

Spatial crowdsourcing assigns location-related tasks to a group of workers (people equipped with smart devices and willing to complete the tasks), who complete the tasks according to their scope of work. Since space crowdsourcing usually requires workers’ location information to be uploaded to the crowdsourcing server, it inevitably causes the privacy disclosure of workers. At the same time, it is difficult to allocate tasks effectively in space crowdsourcing. Therefore, in order to improve the task allocation efficiency of spatial crowdsourcing in the case of large task quantity and improve the degree of privacy protection for workers, a new algorithm is proposed in this paper, which can improve the efficiency of task allocation by disturbing the location of workers and task requesters through k-anonymity. Experiments show that the algorithm can improve the efficiency of task allocation effectively, reduce the task waiting time, improve the privacy of workers and task location, and improve the efficiency of space crowdsourcing service when facing a large quantity of tasks.

Location Privacy-Preserving Distance Computation for Spatial Crowdsourcing

2020 ◽  
Vol 7 (8) ◽  
pp. 7550-7563 ◽  
Author(s):  
Song Han ◽  
Jianhong Lin ◽  
Shuai Zhao ◽  
Guangquan Xu ◽  
Siqi Ren ◽  
...  
Keyword(s):  
Location Privacy ◽  
Privacy Preserving ◽  
Spatial Crowdsourcing ◽  
Distance Computation

A Decentralized Location Privacy-Preserving Spatial Crowdsourcing for Internet of Vehicles

2020 ◽  
pp. 1-15
Author(s):  
Junwei Zhang ◽  
Fan Yang ◽  
Zhuo Ma ◽  
Zhuzhu Wang ◽  
Ximeng Liu ◽  
...  
Keyword(s):  
Location Privacy ◽  
Privacy Preserving ◽  
Spatial Crowdsourcing ◽  
Internet Of Vehicles
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