KGEES: An Energy Saving System With Location Privacy Preservation in Multi-Access Edge Computing
inforesearchPeer-Reviewed
research
Source: IEEE Xplore (Security & AI Journals)December 8, 2025
Summary
This research paper presents KGEES, a system designed to reduce energy consumption in multi-access edge computing (MEC, a technology that brings servers closer to users for faster processing) while protecting user privacy. The system uses k-anonymity geo-obfuscation (a technique that hides exact user locations by grouping them with others) to keep user locations private, while using a greedy algorithm (an approach that makes quick decisions based on immediate benefits) to decide how to allocate computing resources efficiently.
Classification
Attack SophisticationModerate
Monthly digest — independent AI security research
Original source: http://ieeexplore.ieee.org/document/11283077
First tracked: May 9, 2026 at 02:01 AM
Classified by LLM (prompt v3) · confidence: 95%