Network-Aware Differential Privacy
Abstract
Differential privacy (DP) is a privacy-enhancement technology (PET) that receives prominent attention from the academia, industry, and government. One main development over the past decade has been the decentralization of DP, including local DP and shuffle DP. Despite that decentralized DP heavily relies on network communications for data collection,we found that: 1) no systematic study has surveyed the research opportunities at the intersection of networking and DP; 2) nor have there been significant efforts to develop DP mechanisms that are explicitly tailored for network environments. In this paper, we seek to address this gap by initiating a new direction of network-aware DP. We identified two focus areas where the network research can offer substantive contributions to the design and deployment of DP, related to network security and topology. Through this work, we hope to encourage more research that adapt/optimize DP's deployment in various network environments.
Fields of Study & Subjects
Internet Traffic Analysis and Secure E-voting
Privacy-Preserving Technologies in Data
Network Security and Intrusion Detection
Publication details
- Journal / source
- 2026 56th Annual IEEE International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)
- Publisher
- IEEE
- Pages
- 191–196
- Publication date
- 1 June 2026
- Language
- EN