Group Coding Location Privacy Protection Method Based on Differential Privacy in Crowdsensing

Taochun Wang; Yuan Tao; Qiong Zhang; Nuo Xu; Fulong Chen; Chuanxin Zhao

doi:10.1109/jiot.2024.3401694

ScienceGate Book Chapters

JOURNAL ARTICLE

Group Coding Location Privacy Protection Method Based on Differential Privacy in Crowdsensing

Taochun Wang Yuan Tao Qiong Zhang Nuo Xu Fulong Chen Chuanxin Zhao

Year: 2024 Journal: IEEE Internet of Things Journal Vol: 11 (17)Pages: 28398-28408 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jiot.2024.3401694

Get Full-Text PDF Get Analytical Report

Keywords:

Privacy protection Differential privacy Computer science Privacy software Information privacy Computer security Internet privacy Crowdsensing Coding (social sciences) Data mining

Metrics

Cited By

3.83

FWCI (Field Weighted Citation Impact)

Refs

0.90

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Privacy, Security, and Data Protection

Social Sciences → Social Sciences → Sociology and Political Science

Mobile Crowdsensing and Crowdsourcing

Physical Sciences → Computer Science → Computer Science Applications

Group Coding Location Privacy Protection Method Based on Differential Privacy in Crowdsensing

Metrics

Citation History

Topics

Related Documents

Location privacy protection method based on differential privacy in crowdsensing task allocation

Trajectory Privacy Protection Method Based on Differential Privacy in Crowdsensing

Location Privacy Protection Method Based on Local Differential Privacy in Crowdsensing With Approximately Accurate Task Allocation

Location Privacy Protection Method for UAV Based on Differential Privacy

Real-location Reporting Based Differential Privacy Trajectory Protection for Mobile Crowdsensing