
Editorial
Research on Quantum Privacy Protection Framework and Scene Adaptation for Edge Identity Authentication in Distributed Cross Domain Networks
@ARTICLE{10.4108/eetsis.12354, author={Luo Ming and Li Jinjun}, title={Research on Quantum Privacy Protection Framework and Scene Adaptation for Edge Identity Authentication in Distributed Cross Domain Networks}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={12}, number={12}, publisher={EAI}, journal_a={SIS}, year={2026}, month={7}, keywords={Distributed Cross-Domain Network, Edge Identity Authentication, Privacy Protection, Post-Quantum Linkable Ring Signature, Lattice-Based Cryptography}, doi={10.4108/eetsis.12354} }- Luo Ming
Li Jinjun
Year: 2026
Research on Quantum Privacy Protection Framework and Scene Adaptation for Edge Identity Authentication in Distributed Cross Domain Networks
SIS
EAI
DOI: 10.4108/eetsis.12354
Abstract
This paper proposes a universal post quantum privacy protection edge identity authentication framework to address the challenges faced by edge identity authentication in distributed cross domain networks, such as quantum attack threats, cross domain data privacy breaches, and difficulties in coordinating anonymity protection and compliance supervision. The framework adopts an optimized lattice based linkable ring signature protocol to meet the lightweight operation requirements of edge nodes and prevent the risk of leakage in identity data interaction; Design traceability constraints and controllable cross domain traceability mechanisms based on the linkability feature of signatures, balancing user privacy and regulatory requirements. Prove that the scheme possesses unforgeability, strong anonymity, and quantum resistance under the random oracle model. After optimizing the algorithm and interaction logic, the authentication efficiency is improved by 8% to 15% compared to similar solutions, and it is adapted to the low computing power and low latency characteristics of edge nodes. Combining zero knowledge proof to build a lightweight data collection mechanism and achieve privacy protection throughout the entire data process. This article uses the integrated aviation tourism system as a typical application case to verify that the proposed framework can be widely applied to various distributed cross domain networks and identity authentication systems.
Copyright © 2026 Luo Ming et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.


