5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach

<p dir="ltr">The advent of Fifth-Generation (5G) networks has introduced significant security challenges due to increased complexity and diverse use cases. Conventional threat models may fall short of addressing these emerging threats effectively. This paper presents a new security m...

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Bibliographic Details
Main Author:	Rafiq Ahmad Khan (5066180) (author)
Other Authors:	Habib Ullah Khan (12024579) (author), Hathal Salamah Alwageed (19762196) (author), Hussein Al Hashimi (22303792) (author), Ismail Keshta (17727699) (author)
Published:	2025
Subjects:	Engineering Communications engineering Information and computing sciences Artificial intelligence Cybersecurity and privacy Machine learning 5G networks security threats and practices systematic literature review survey and case study artificial neural networks (ANN) interpretive structure modeling (ISM) threat prediction and assessment
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5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach

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