CRCLJan 20, 2024

A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing

arXiv:2401.11305v38 citationsElectronics
Originality Synthesis-oriented
AI Analysis

It provides a synthesis for researchers and practitioners in these fields, but is incremental as a review paper.

This narrative review analyzes privacy protection challenges in edge computing and mobile crowdsourcing, identifying current trends and advancements in identity, data, and location privacy techniques.

As digital technology advances, the proliferation of connected devices poses significant challenges and opportunities in mobile crowdsourcing and edge computing. This narrative review focuses on the need for privacy protection in these fields, emphasizing the increasing importance of data security in a data-driven world. Through an analysis of contemporary academic literature, this review provides an understanding of the current trends and privacy concerns in mobile crowdsourcing and edge computing. We present insights and highlight advancements in privacy-preserving techniques, addressing identity, data, and location privacy. This review also discusses the potential directions that can be useful resources for researchers, industry professionals, and policymakers.

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