NLP-based Cross-Layer 5G Vulnerabilities Detection via Fuzzing Generated Run-Time Profiling
Author:
Affiliation:
1. School of Systems and Enterprises Stevens Institute of Technology,Hoboken,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10490006/10490015/10490042.pdf?arnumber=10490042
Reference41 articles.
1. 5GReasoner
2. Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems
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4. AI-Powered Real-Time Channel Awareness and 5G NR Radio Access Network Scheduling Optimization
5. Development of a Data-Driven Mobile 5G Testbed: Platform for Experimental Research
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fuzzers for Stateful Systems: Survey and Research Directions;ACM Computing Surveys;2024-04-25
2. From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis;2023 IEEE 12th International Conference on Cloud Networking (CloudNet);2023-11-01
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