PIPE: Identity-Aware Privacy-Enhanced Source and Path Verification for Strengthened Network Accountability

Network-layer security threats have become increasingly sophisticated, exposing significant vulnerabilities in the current Internet architecture. Despite various proposed solutions, the field faces fundamental challenges in balancing user privacy with network security and achieving practical deployment. This paper presents a novel approach called PIPE (Privacy-preserving Identity and Path Enhancement), which leverages a distributed infrastructure of Key Distribution Servers (KDS) to integrate Decentralized Identity (DID) with source and path verification. Our solution binds user identity, address, path, and data while maintaining privacy through encryption and per-hop address transformation. By embedding DID information in address and implementing encrypted path verification, we achieve enhanced network accountability without compromising privacy. Experimental results demonstrate PIPE’s practicality and advantages over existing approaches in terms of deployment flexibility and security guarantees. Our work contributes to the evolution of secure network architectures by balancing accountability requirements with privacy protection while ensuring practical deployability.

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Published
2025-09-22
DOI
https://doi.org/10.1109/icnp65844.2025.11192382
Primary Topic
Internet Traffic Analysis and Secure E-voting
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article
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article

PIPE: Identity-Aware Privacy-Enhanced Source and Path Verification for Strengthened Network Accountability

Jianli Liu, HU Xiao-long, Xiangyu Gao, Su Yao et al.
Internet Traffic Analysis and Secure E-voting
article

PIPE: Identity-Aware Privacy-Enhanced Source and Path Verification for Strengthened Network Accountability

Jianli Liu, HU Xiao-long, Xiangyu Gao, Su Yao, Songtao Fu, Jianfeng Guan, Kexian Liu, Ke Xu, Qin Ye
article en

Abstract

Network-layer security threats have become increasingly sophisticated, exposing significant vulnerabilities in the current Internet architecture. Despite various proposed solutions, the field faces fundamental challenges in balancing user privacy with network security and achieving practical deployment. This paper presents a novel approach called PIPE (Privacy-preserving Identity and Path Enhancement), which leverages a distributed infrastructure of Key Distribution Servers (KDS) to integrate Decentralized Identity (DID) with source and path verification. Our solution binds user identity, address, path, and data while maintaining privacy through encryption and per-hop address transformation. By embedding DID information in address and implementing encrypted path verification, we achieve enhanced network accountability without compromising privacy. Experimental results demonstrate PIPE’s practicality and advantages over existing approaches in terms of deployment flexibility and security guarantees. Our work contributes to the evolution of secure network architectures by balancing accountability requirements with privacy protection while ensuring practical deployability.

Beijing University of Posts and Telecommunications (CN), State Key Laboratory of Networking and Switching Technology, Tsinghua University (CN)
Openalex Percentile: Top 85%
Internet Traffic Analysis and Secure E-voting
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PIPE: Identity-Aware Privacy-Enhanced Source and Path Verification for Strengthened Network Accountability — Jianli Liu, HU Xiao-long, et al. · (2025) | TGRS Research Map | TGRS