Survey on Privacy Preserving in Crowd Sensing

Tian Maoze

doi:10.30560/ijas.v8n2p103

Tian Maoze School of Information, Guizhou University of Finance and Economics, China

DOI: https://doi.org/10.30560/ijas.v8n2p103

Keywords: crowd sensing, data quality, privacy protection, data anonymization, encryption techniques

Abstract

As an emerging sensing technology, crowd sensing has gained wide attention in many application fields and is developing rapidly. However, with the popularization of crowd participation in sensing tasks, the risk of user privacy leakage is also increasing, which becomes an important problem to be solved urgently. When users participate in sensing tasks, they need to upload personal information or sensor data, which often contains sensitive information. Without effective privacy protection measures, user privacy may be leaked or abused. The core goal of privacy protection is to ensure that users' private information will not be leaked when they participate in the task. This paper analyzes the related research progress of privacy protection in the field of crowd sensing, and summarizes the main challenges currently faced.

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