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

TL;DR

A narrative review focuses on the need for privacy protection in mobile crowdsourcing and edge computing, emphasizing the increasing importance of data security in a data-driven world.

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.

Figures (6)

• Figure 1: Publication trend on privacy in edge computing and mobile crowdsourcing in recent years. The full year 2024 is not covered, so additional publications are expected.
• Figure 2: Top publishers by number of publications in the field.
• Figure 3: Publication trends over time by topic.
• Figure 4: Flow of the privacy-preserving methods covered in this work.
• Figure 5: Anatomy of a mobile crowdsourcing campaign.