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ORCID6th MLN 2023: Paris, France
- Éric Renault, Selma Boumerdassi, Paul Mühlethaler:
Machine Learning for Networking - 6th International Conference, MLN 2023, Paris, France, November 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14525, Springer 2024, ISBN 978-3-031-59932-3 - Philippe Ea, Jiahui Xiang, Osman Salem, Ahmed Mehaoua:
Machine Learning for IoT Devices Security Reinforcement. 1-13 - Félix Marcoccia, Cédric Adjih, Paul Mühlethaler:
Attentive, Permutation Invariant, One-Shot Node-Conditioned Graph Generation for Wireless Networks Topology Optimization. 14-31 - Nadir Mahammed
, Badia Klouche, Imène Saidi, Miloud Khaldi, Mahmoud Fahsi:
Enhancing Social Media Profile Authenticity Detection: A Bio-Inspired Algorithm Approach. 32-49 - Hamid Reza Tohidypour, Tala Bazzaza, Yixiao Wang, Panos Nasiopoulos, Vincent Sastra, Bowei Ren, Elbert Ng, Sebastian Gonzalez, Andrew Shieh:
A Deep Learning Based Automatic Outdoor Home Video Surveillance Approach. 50-56 - Jiahui Xiang, Osman Salem, Ahmed Mehaoua:
Detecting Abnormal Authentication Delays In Identity And Access Management Using Machine Learning. 57-71 - Oussama Sbai, Benjamin Allaert, Patrick Sondi, Ahmed Meddahi:
SIP-DDoS: SIP Framework for DDoS Intrusion Detection Based on Recurrent Neural Networks. 72-89 - Madani Bezoui, Abdelfatah Kermali, Ahcène Bounceur, Saeed Mian Qaisar, Abdulaziz T. Almaktoom:
Deep Reinforcement Learning for Multiobjective Scheduling in Industry 5.0 Reconfigurable Manufacturing Systems. 90-107 - Hamza Ngadi, Ahcène Bounceur, Madani Bezoui, Laaziz Lahlou, Mohammad Hammoudeh, Nadjia Kara, Laurent Nana:
Toward A Digital Twin IoT for the Validation of AI Algorithms in Smart-City Applications. 108-117 - Julianna Devillers, Olivier Brun, Balakrishna J. Prabhu:
Data Summarization for Federated Learning. 118-137 - Morgane Joly, Éric Renault, Fabian Rivière:
ML Comparison: Countermeasure Prediction Using Radio Internal Metrics for BLE Radio. 138-147 - Mohamed Lamine Benzagouta, Emilien Bourdy, Hasnaâ Aniss, Hacène Fouchal, Nour-Eddin El Faouzi:
Towards Road Profiling with Cooperative Intelligent Transport Systems. 148-166 - Yasmine Chaouche, Éric Renault, Ryma Boussaha:
Study of Masquerade Attack in VANETs with Machine Learning. 167-184 - Lina Feriel Benassou, Safa Bendaouia, Osman Salem, Ahmed Mehaoua:
Detecting Virtual Harassment in Social Media Using Machine Learning. 185-198 - Nicolas Grenèche, Frédéric Andrès, Shihori Tanabe, Andreas Pester, Hesham H. Ali, Amgad A. Mahmoud, Dominique Bascle:
Leverage Data Security Policies Complexity for Users: An End-to-End Storage Service Management in the Cloud Based on ABAC Attributes. 199-217 - Baptiste Petit, Emilie Huby, Céline Schneider, Patricia Vàzquez, Cyril Rabat, Hacène Fouchal:
Machine Learning to Model the Risk of Alteration of Historical Buildings. 218-231 - Aïssa Belmeguenaï, Djamel Herbadji, Selma Boumerdassi, Oulaya Berrak:
A Novel Image Encryption Technique Using Modified Grain-128. 232-249 - Aimee Booysens, Serestina Viriri:
Transformation Network Model for Ear Recognition. 250-266 - Tariq Mouatassim, Hassan El Ghazi, Khadija Bouzaâchane, El Mahdi El Guarmah, Iyad Lahsen Cherif:
Cybersecurity Analytics: Toward an Efficient ML-Based Network Intrusion Detection System (NIDS). 267-284
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