A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 77 references that are in the map. First posted on arXiv 20 Jan 2024.
Builds on
7 of 77 references.
References · 7
- 2019Advances and Open Problems in Federated Learningcited by 3,021
- 2021Resource Scheduling in Edge Computing: A Surveycited by 17
- 2018All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Surveycited by 14
- 2019A Novel Blockchain-based Trust Model for Cloud Identity Managementcited by 1
- 2022Improving Rating and Relevance with Point-of-Interest Recommender Systemcited by 1
- 2022BERT4Loc: BERT for Location -- POI Recommender Systemcited by 1
- 2022Privacy protection and service evaluation methods for location-based services in edge computing environmentscited by 1
Built on by
Not cited yet.