About this document
ML Vulnerabilities in 5G Security by Jamal Khattak is a document available to read on EtoBox.
The document discusses the potential cybersecurity vulnerabilities introduced by machine learning (ML) in 5G networks, highlighting that while ML can enhance network performance, it may also lead to serious security challenges such as denial of service and privacy breaches. It categorizes the threats posed by ML into five main areas and emphasizes the need for scrutinizing data to mitigate risks without compromising privacy. The authors provide a survey of existing research and suggest directions for future
- Author
- Jamal Khattak
- Language
- EN