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

TL;DR

This paper reviews current privacy challenges and techniques in edge computing and mobile crowdsourcing, emphasizing identity, data, and location privacy to guide future research and policy development.

Contribution

It provides a comprehensive analysis of recent privacy-preserving methods and identifies future directions in privacy protection for edge computing and mobile crowdsourcing.

Findings

Highlights advancements in privacy-preserving techniques

Identifies key privacy concerns in mobile crowdsourcing and edge computing

Suggests future research directions for privacy enhancement

Abstract

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.