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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Mounir Frikha

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Open access 2026

From IoT Vulnerabilities to Intrusion Detection: An Explainable Vulnerability-Aware Machine Learning Framework for Smart Home IoT Security

An interpretable vulnerability-aware ML-based approach is presented to solve the problem of smart home IoT intrusion detection through the integration of vulnerability classes of IoT, attack classes, network flow attributes, and ML features into one interpretation model.

Huda Aldawghan, Mounir Frikha · 0 citations
Open access 2026

Combatting Phishing Attacks: Leveraging Machine Learning for Real-Time Detection in Penetration Testing

This study proposes a machine learning (ML)-based framework intended for integration within penetration testing environments, designed for real-time deployment, enabling integration into penetration testing workflows for proactive security assessment.

Ashwag Alotaibi, Mounir Frikha · 0 citations
Open access 2026

Behavior-Aware Access Control for IoT Networks Using Lightweight Machine Learning at the Gateway Level

A behavior-sensitive access control solution is presented, which integrates lightweight supervised Machine Learning on the IoT gateway to provide dynamic authorization and uses a Supervised Random Forest model to process real-time statistical feature summaries in terms of mean, standard deviation, and sparsity of the I...

Yaseen Alduwayl, Abdullah T. Al-Essa, Mounir Frikha · 0 citations

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