Forensic Data Analytics for Anomaly Detection in Evolving Networks

no code implementations • 17 Aug 2023 • Li Yang, Abdallah Moubayed, Abdallah Shami, Amine Boukhtouta, Parisa Heidari, Stere Preda, Richard Brunner, Daniel Migault, Adel Larabi

In the prevailing convergence of traditional infrastructure-based deployment (i. e., Telco and industry operational networks) towards evolving deployments enabled by 5G and virtualization, there is a keen interest in elaborating effective security controls to protect these deployments in-depth.

Feature Engineering Intrusion Detection +1

Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection

no code implementations • 24 Jul 2021 • Li Yang, Abdallah Moubayed, Abdallah Shami, Parisa Heidari, Amine Boukhtouta, Adel Larabi, Richard Brunner, Stere Preda, Daniel Migault

Content delivery networks (CDNs) provide efficient content distribution over the Internet.

Feature Engineering Unsupervised Anomaly Detection

Machine Learning for Performance-Aware Virtual Network Function Placement

no code implementations • 13 Jan 2020 • Dimitrios Michael Manias, Manar Jammal, Hassan Hawilo, Abdallah Shami, Parisa Heidari, Adel Larabi, Richard Brunner

The model takes several performance-related features from the network as an input and selects the placement of the various VNF instances on network servers with the objective of minimizing the delay between dependent VNF instances.

BIG-bench Machine Learning