5G Specifications Formal Verification with Over-the-Air Validation: Prompting is All You Need

Tom Wray, Ying Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The critical role of 5G and other complex systems in infrastructure necessitates rigorous protocol verification and system validation to ensure security and reliability. This paper explores the application of applying Large Language Model enabled auto Formal Verification with Real-world Prompting on Large Language Models (LLMs) for 5G and NextG protocols, addressing ambiguities and security concerns in network infrastructure protocol and specification design. By leveraging generative transformer-based LLMs, we present a formal approach to prompt engineering that validates complex specifications and implements formal verification techniques to detect and eliminate hallucinations. Our approach is agnostic to specific LLMs, with performance comparisons across currently popular models. We thoroughly examine the human processes involved to identify entry points where Prompt Engineering can reduce process overhead. We have developed a novel framework for iterative prompting and self-monitoring to aid in formal verification using 5G reasoner, enabling closed-loop automatic 5G protocol verification. Focusing on the RRC layer of 5G release 17, specifically sections 5.3.3.3, 5.3.3.4, and 5.3.5.3, we examined the liveness properties and detected a total of seven vulnerabilities, including variations of Null Cipher, Denial of Service (DoS), Lullaby, and Incarceration attacks. Further, we established a general testing framework that spans conception, virtualization, and over-the-air testing, providing a holistic approach to security assessment. This comprehensive framework underscores the importance of robust protocol verification and system validation in the deployment of critical infrastructure technologies.

Original languageEnglish
Title of host publication2024 IEEE Military Communications Conference, MILCOM 2024
Pages412-418
Number of pages7
ISBN (Electronic)9798350374230
DOIs
StatePublished - 2024
Event2024 IEEE Military Communications Conference, MILCOM 2024 - Washington, United States
Duration: 28 Oct 20241 Nov 2024

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM
ISSN (Print)2155-7578
ISSN (Electronic)2155-7586

Conference

Conference2024 IEEE Military Communications Conference, MILCOM 2024
Country/TerritoryUnited States
CityWashington
Period28/10/241/11/24

Keywords

  • 5G
  • Artificial Intelligence
  • Large Language Models
  • Prompt Engineering
  • Security

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