16 citations · 17 across the 3 of their papers we have counts for
3 papers
Deep Learning for Contextualized NetFlow-Based Network Intrusion Detection: Methods, Data, Evaluation and Deployment
Abdelkader El Mahdaouy, Issam Ait Yahia, Soufiane Oualil +1
Network Intrusion Detection Systems (NIDS) have progressively shifted from signature-based techniques toward machine learning and, more recently, deep learning methods. Meanwhile,…
DomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification
Abdelkader El Mahdaouy, Salima Lamsiyah, Meryem Janati Idrissi +3
Detecting and classifying suspicious or malicious domain names and URLs is fundamental task in cybersecurity. To leverage such indicators of compromise, cybersecurity vendors and p…
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis
Ismail Elbouknify, Afaf Bouhoute, Khalid Fardousse +2
In this work, CT-xCOV, an explainable framework for COVID-19 diagnosis using Deep Learning (DL) on CT-scans is developed. CT-xCOV adopts an end-to-end approach from lung segmentati…