An overview of location privacy protection in spatial crowdsourcing platforms during the task assignment process Online publication date: Fri, 15-Dec-2023
by Amal Abduallah Nasser Albilali; Maysoon Abulkhair; Manal Sarhan Bayousef
International Journal of Security and Networks (IJSN), Vol. 18, No. 4, 2023
Abstract: The field of spatial crowdsourcing (SC) has become a hot topic in recent years. The greatest concern of participants of SC platforms is privacy leakage during the task assignment (TA) process. In this study, we present an overview of techniques used to protect worker's location privacy and associate these with the directed attacks that occur during TA on SC platforms to guide researchers and enhance the development of new approaches. The overview involves analysis of major studies published in highly ranked journals during 2017-2022 and includes discussion of each technique's strengths and limitations, highlighting the attack types that threaten worker privacy and have not yet been sufficiently investigated. Finally, we present the challenges facing privacy in SC and future directions for developing advanced approaches that protect the worker privacy against critical attacks.
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