From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis-Reference-Cited by-同舟云学术

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From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis

Published:2023-11-01 Issue: Volume: Page:229-237
ISSN:
Container-title:2023 IEEE 12th International Conference on Cloud Networking (CloudNet)
language:
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Author:

Yuan Shiyu¹,Yang Jingda¹,Arya Sudhanshu¹,Lipizzi Carlo¹,Wang Ying¹

Affiliation:

1. Stevens Institute of Technology,Hoboken,NJ

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10490006/10490015/10490075.pdf?arnumber=10490075

Reference29 articles.

1. Formal and fuzzing amplification: Targeting vulnerability detection in 5g and beyond;Yang,2023

2. Formal-Guided Fuzz Testing: Targeting Security Assurance From Specification to Implementation for 5G and Beyond

3. A Formal Analysis of 5G Authentication

4. 5G RRC Protocol and Stack Vulnerabilities Detection via Listen-and-Learn

5. 5GReasoner

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