Network-Aware Differential Privacy

2025-09-04

AI Summary

Existing differential privacy (DP) research lacks systematic consideration of network communication characteristics, particularly customized DP mechanisms for networked environments. Method: This paper pioneers the interdisciplinary study of networks and DP, introducing the paradigm of “network-aware differential privacy,” which deeply integrates network security properties and topological structure into DP design. We unify local DP and shuffle DP within a realistic network communication model, explicitly incorporating transmission security, bandwidth constraints, node heterogeneity, and topological dependencies. Contribution/Results: We establish the first DP framework tailored for network deployment; rigorously characterize the fundamental impact of network topology on the privacy–utility trade-off; and provide theoretical foundations and optimization pathways for efficient, deployable privacy protection in decentralized settings. Our approach bridges critical gaps between abstract DP theory and practical networked systems, enabling principled privacy-preserving data analysis across distributed infrastructures.

Technology Category

• Machine Learning: Privacy
• Search and Optimization: Distributed Search
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Security and Privacy: Data transparency and provenance
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Responsible Web: Data and user privacy-enhancing technologies for the Web

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.

Problem

• Lack of systematic study on networking and differential privacy intersection
• Absence of DP mechanisms tailored for network environments
• Need for network-aware DP considering security and topology

Innovation

• Network-aware differential privacy for decentralized systems
• Integrating network security and topology into DP
• Optimizing DP deployment across diverse network environments