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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Privacy in Edge Computing: Securing Solutions for Distributed Systems

Rajneesh Kler, Kapil Jairath, Manik Rakhra, Gaurav Aggarwal et al.
6 citations
Cloud Data Security Solutions
19.48
article

Data Privacy in Edge Computing: Securing Solutions for Distributed Systems

Rajneesh Kler, Kapil Jairath, Manik Rakhra, Gaurav Aggarwal, Danish Ather, Harjeet Kaur
article en
6 citations

Abstract

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.

Lovely Professional University (IN)
Openalex Percentile: Top 1%
Cloud Data Security Solutions
19.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Data Privacy in Edge Computing: Securing Solutions for Distributed Systems — Rajneesh Kler, Kapil Jairath, et al. · (2025) | TGRS Research Map | TGRS