Data Privacy in Edge Computing: Securing Solutions for Distributed Systems
The revolution in data processing occurs through edge computing platforms which move calculation power nearer to where data exists instead of depending on centralized data centers. The transition creates new difficulties about safeguarding both person and system security in addition to data privacy. The current study investigates distributed system vulnerabilities in edge computing environments by developing security approaches to protect against threats. The analysis showcase secure data protection tools across edge environments which include encryption methods and access controls and privacy-preserving calculations. The paper employs architectural illustrations which display the secure routing of data through Edge computing networks.
Authors
- Rajneesh Kler (ORCID: https://orcid.org/0000-0001-7402-9330)
- Kapil Jairath (ORCID: https://orcid.org/0000-0002-8304-3959)
- Manik Rakhra (ORCID: https://orcid.org/0000-0003-1680-6992)
- Gaurav Aggarwal (ORCID: https://orcid.org/0000-0003-2261-1657)
- Danish Ather (ORCID: https://orcid.org/0000-0003-1596-5553)
- Harjeet Kaur (ORCID: https://orcid.org/0000-0002-0522-4770)
Institutions
- Lovely Professional University (IN)
Publication Details
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1109/netcrypt65877.2025.11102306
- Citations
- 6
- Primary Topic
- Cloud Data Security Solutions
- Type
- article
- Field-Weighted Citation Impact
- 19.48