2nd IFIP International Conference on Machine Learning for Networking (MLN'2019)
Paris, France, December 3-5, 2019
Preliminary program
Tuesday December 3rd, 2019
09:00-09:15 — Registration
09:15-09:30 — Welcome address
09:30-11:00 — Session 1
Network Anomaly Detection using Federated Deep Autoencoding Gaussian Mixture Model
Yang Chen (Nanyang Technological University, School of Computer Science and Engineering, Singapore), Junzhe Zhang (Nanyang Technological University, School of Computer Science and Engineering, Singapore) and Chai Kiat Yeo (Nanyang Technological University, School of Computer Science and Engineering, Singapore)
Towards a Hierarchical Deep Learning Approach for Intrusion Detection
François Alin (CReSTIC Lab, University of Reims, France), Amine Chemchem (CReSTIC Lab, University of Reims, France), Florent Nolot (CReSTIC Lab, University of Reims, France), Olivier Flauzac (CReSTIC Lab, University of Reims, France) and Michaël Krajecki (CReSTIC Lab, University of Reims, France)
Network Traffic Classification using Machine Learning for Software Defined Networks
Menuka Perera Jayasuriya Kuranage (Télécom SudParis, France), Kandaraj Piamrat (Université de Nantes/LS2N, France) and Salima Hamma (Université de Nantes/LS2N, France)
A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection
Anurag Das (Carleton University, Canada), Samuel Ajila (Carleton University, Canada) and Chung-Horng Lung (Carleton University, Canada)
11:00-11:30 — Coffee break
11:30-13:00 — Session 2
Q-routing: from the algorithm to the routing protocol
Alexis Bitaillou (University of Nantes/LS2N, France), Benoît Parrein (University of Nantes/LS2N, France) and Guillaume Andrieux (University of Nantes/IETR, France)
Language Model Co-occurrence Linking for Interleaved Activity Discovery
Eoin Rogers (Technological University Dublin, Ireland), Robert Ross (Technological University Dublin, Ireland) and John Kelleher (Technological University Dublin, Ireland)
Achieving Proportional Fairness in WiFi Networks via Bandit Convex Optimization
Golshan Famitafreshi (Universitat Oberta de Catalunya, Spain) and Cristina Cano Bastidas (Universitat Oberta de Catalunya, Spain)
Denoising Adversarial Autoencoder for Obfuscated Traffic Detection and Recovery
Ola Salman (American University of Beirut, Lebanon), Imad Elhajj (American University of Beirut, Lebanon), Ayman Kayssi (American University of Beirut, Lebanon) and Ali Chehab (American University of Beirut, Lebanon)
13:00-14:30 — Lunch break
14:30-17:30 — Tutorial 1
Cloud Solution Architect (Artificial Intelligence & Machine Learning)
Franck Gaillard (Microsoft, France)
Wednesday December 4th, 2019
09:00-11:00 — Tutorial 2
Towards intelligent mobile networks
Marie Line Alberi Morel (NOKIA Bell Lab, France) and Kamal Singh (Télécom Saint-Etienne / University Jean Monnet, France)
11:00-11:30 — Coffee break
11:30-13:00 — Session 3
Root Cause Analysis of Reduced Accessibility in 4G Networks
Diogo Ferreira (University of Aveiro, Portugal), Carlos Senna (Instituto de Telecomunicações, Aveiro, Portugal), Paulo Salvador (Instituto de Telecomunicações, Portugal), Luís Cortesão (Altice Labs, Portugal), Cristina Pires (Altice Labs, Portugal), Rui Pedro (Altice Labs, Portugal) and Susana Sargento (University of Aveiro, Portugal)
Space-time pattern extraction in alarm logs for network diagnosis
Achille Salaün (Nokia Bell Labs, France), Anne Bouillard (Nokia Bell Labs, France) and Marc-Olivier Buob (Nokia Bell Labs, France)
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses
Nageswara Rao (Oak Ridge National Laboratory, USA), Neena Imam (Oak Ridge National Laboratory, USA), Zhengchun Liu (Argonne National Laboratory, USA), Rajkumar Kettimuthu (Argonne National Laboratory & The University of Chicago, USA) and Ian Foster (Argonne National Laboratory & The University of Chicago, USA)
Algorithm Selection and Model Evaluation in Application Design using Machine Learning
Srikanth Bethu (Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad, India), B. Sankara Babu (Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad, India), K. Madhavi (Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad, India) and P. Gopala Krishna (Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad, India)
13:00-14:30 — Lunch break
14:30-16:30 — Keynote 1
From Learning to Reasoning : A topos perspective
Jean-Claude Belfiore (Huawei, France)
16:30-17:00 — Coffee break
17:00-18:30 — Session 4
GAMPAL: Anomaly Detection for Internet Backbone Traffic by Flow Prediction with LSTM-RNN
Taku Wakui (Keio University, Japan), Takao Kondo (Keio University, Japan) and Fumio Teraoka (Keio University, Japan)
Revealing User Behavior by Analyzing DNS Traffic
Martín Panza (University of Chile, Chile), Diego Madariaga (University of Chile, Chile) and Javier Bustos-Jiménez (University of Chile, Chile)
A new approach to determine the optimal number of clusters based on the Gap statistic
Jaekyung Yang (Chonbuk National University, South Korea), Jong-Yeong Lee (Chonbuk National University, South Korea), Myoungjin Choi (Howon University, South Korea) and Yeongin Joo (Chonbuk National University, South Korea)
MLP4NIDS: an efficient MLP-based Network Intrusion Detection for CICIDS2017 dataset
Arnaud Rosay (STMicroelectronics, France), Florent Carlier (Le Mans Université, France) and Pascal Leroux (Le Mans Université, France)
19:00-21:00 — Dinner
Thursday December 5th, 2019
09:00-10:00 — Keynote 2
Paradigm shifts in communication networks: cloud-native, automation and AI/ML
Alberto Conte (NOKIA Bell Labs, France)
10:00-10:30 — Coffee break
10:30-13:00 — NSL Workshop
Preserving Data/Query Privacy Using Searchable Symmetric Encryption
Kevin Curran (Ulster University, UK)
Jason-RS, a Collaboration between Agents and an IoT Platform
Hantanirina Felixie Rafalimanana (Laboratoire d’Informatique et des Mathématiques Appliqués au Développement, Madagascar), Sylvain Cherrier (Université Paris-Est, France), Jean Luc Razafindramintsa (Laboratoire d’Informatique et des Mathématiques Appliqués au Développement, Madagascar), Thomas Mahatody (Laboratoire d’Informatique et des Mathématiques Appliqués au Développement, Madagascar), Laurent George (Université Paris-Est, France) and Victor Manantsoa (Laboratoire d’Informatique et des Mathématiques Appliqués au Développement, Madagascar)
S2S: Scream to Save: Intelligent System to Life-Saving in Disasters Relief
Nardjes Bouchemal (University Center Abdelhafid Boussouf of Mila, Algeria), Aissa Serrar (University Center Abdelhafid Boussouf of Mila, Algeria), Yahya Bouzeraa (University Center Abdelhafid Boussouf of Mila, Algeria), Naila Bouchemal (ECE Ecole d'ingénieurs, France)
Association rules algorithms for data mining process based on Multi Agent System
Imane Belabed (University Mohammed the Firstand Mohammed, Morocco), Talibi Alaoui (University Mohammed the Firstand Mohammed, Morocco)
Internet of Things: Security Between Challenges and Attacks
Benali Cherif (University of Constantine2, Algeria), Maamri Ramdane (University of Constantine2, Algeria), Zaidi Sahnoun (University of Constantine2, Algeria), Bouchemal Nardjes (University Center Abdelhafid Boussouf of Mila, Algeria)
Socially and biologically inspired computing for self-organizing communications networks: a survey
Carlos Andrés Collazos Morales (Universidad Manuela Beltrán, Colombia) and Paola Ariza Colpas (Universidad de la Costa, Colombia)
13:00-14:30 — Lunch break
14:30-16:15 — Session 5
Emotion-based Adaptive Learning Systems
Sai Prithvisingh Taurah (Tylers, Mauritius), Jeshta Bhoyedhur (LSL Digital, Mauritius) and Roopesh Kevin Sungkur (University of Mauritius, Mauritius)
Machine learning methods for anomaly detection in IoT networks, with illustrations
Vassia Bonandrini (ESIEE Paris, France), Jean-François Bercher (ESIEE Paris, France) and Nawel Zangar (ESIEE Paris, France)
DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning
Mariam Kiran (Lawrence Berkeley National Laboratory, USA), Bashir Mohammed (Lawrence Berkeley National Laboratory, USA) and Nandini Krishnaswamy (Lawrence Berkeley National Laboratory, USA)
Arguments Against using the 1998 DARPA Dataset for Cloud IDS Design and Evaluation and an Alternative
Onyekachi Nwamuo (University of Victoria, Canada), Paulo Magella de Faria Quinan (University of Victoria, Canada), Issa Traore (University of Victoria, Canada), Isaac Woungang (Ryerson University, Canada) and Abdulaziz Aldribi (Qassim University, Saudi Arabia)
Estimation of the Hidden Message Length in Steganography: A Deep Learning Approach
François Kasséné Gomis (Cheikh Anta Diop University, Sénégal), Thierry Bouwmans (La Rochelle University, France), Mamadou Samba Camara (Cheikh Anta Diop University, Sénégal) and Idy Diop (Cheikh Anta Diop University, Sénégal)
16:15-16:30 — Coffee break
16:30-18:15 — Session 6
An Adaptive Deep Learning Algorithm Based Autoencoder for Interference Channels
Dehao Wu (University of Sussex, UK), Maziar Nekovee (Quantrom Technologies LTD, UK) and Yue Wang (Samsung Electronics R&D Institute, UK)
A Learning Approach for Road Traffic Optimization in Urban Environments
Ahmed Mejdoubi (CReSTIC Lab, University of Reims, France), Ouadoudi Zytoune (CReSTIC Lab, University of Reims, France), Hacene Fouchal (CReSTIC Lab, University of Reims, France) and Mohamed Ouadou (CReSTIC Lab, University of Reims, France)
CSI based Indoor localization using Ensemble Neural Networks
Abdallah Sobehy (Télécom SudParis, France), Éric Renault (ESIEE Paris, France) and Paul Mühlethaler (INRIA Paris, France)
Bayesian Classifiers in Intrusion Detection Systems
Carlos Andrés Collazos Morales (Universidad Manuela Beltrán, Colombia) and Paola Ariza Colpas (Universidad de la Costa, Colombia)
A Novel Approach towards Analysis of AttackerBehavior in DDoS Attacks
Himanshu Gupta (BITS Pilani, Hyderabad Campus, India), Tanmay Girish Kulkarni (BITS Pilani, Hyderabad Campus, India), Lov Kumar (BITS Pilani, Hyderabad Campus, India) and Neti Lalita Bhanu Murthy (BITS Pilani, Hyderabad Campus, India)