Pierpaolo Bene
Evaluation and Optimization of Automated 5G Vulnerabilities Classification.
Rel. Nicolò Maunero, Andrea Bernardini, Leonardo Sagratella. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2025
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Abstract
As 5G networks continue to expand into critical sectors such as healthcare, energy, and transportation, the need for robust security measures is becoming crucial. At the same time, the volume of reported vulnerabilities has grown rapidly in the last few years, increasing from around 25,000 in 2022 to projections of up to 50,000 new CVEs (Common Vulnerabilities and Exposures) in 2025. In this evolving landscape, it is essential to rapidly identify the vulnerabilities that affect the 5G infrastructure. However, traditional methods such as keyword filtering and manual review are slow and error prone, making it increasingly difficult to cope with the continuous influx of newly reported vulnerabilities.
To address this problem, the study proposes a methodology to automate the classification of CVEs affecting the 5G infrastructure, making it capable of keeping up with the growing volume of vulnerabilities while preserving reliability
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