MUFAZA: Multi-Source Fast and Autonomous Zero-Trust Authentication for 5G Networks

Yunfei Ge, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


With a growing threat landscape and attack surfaces in 5G networks, a promising approach to secure next-generation networks is to shift from perimeter-based defense to a zero-trust security framework that focuses on agent-centric trust evaluation and access decisions. A fast and accurate trust evaluation mechanism plays an important role in developing efficient authentication policies while ensuring system performance. In this work, we propose a multi-source fast and autonomous zero-trust authentication framework, known as MUFAZA, to provide resilient zero-trust security for 5G networks. We develop a moving-horizon dynamic trust evaluation that integrates multiple sources of security evidence. We discuss the reliability of information and provide a guide on how to incorporate additional information into trust evaluation. A case study of a hybrid 5G-enabled network illustrates the efficiency and robustness of the proposed approach.

Original languageEnglish (US)
Title of host publicationMILCOM 2022 - 2022 IEEE Military Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665485340
StatePublished - 2022
Event2022 IEEE Military Communications Conference, MILCOM 2022 - Rockville, United States
Duration: Nov 28 2022Dec 2 2022

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM


Conference2022 IEEE Military Communications Conference, MILCOM 2022
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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