(c) photo Michel Hasson

4th International Conference on Machine Learning for Networking (MLN'2021)

Virtual conference, December 1-3, 2021


Wednesday December 1st, 2021

10:00-10:15 — Conference opening

10:15-11:45 — Session 1

Evaluation of Machine Learning Methods for Image Classification: A Case Study of Facility Surface Damage
Ching-Lung Fan (Republic of China Military Academy, Taiwan)

One-Dimensional Convolutional Neural Network for Detection and Mitigation of DDoS Attacks in SDN
Abdullah Alshra'a and Seitz Jochen (Technische Universität Ilmenau, Germany)

Multi-Armed Bandit-based Channel Hopping: Implementation on Embedded Devices
Konrad-Felix Krentz, Alex Kangas, and Thiemo Voigt (Uppsala universitet, Sweden)

12:00-14:00 — Keynote 1

Distributed and Communication-Efficient ML over and for Wireless
Mehdi Bennis (University of Oulu, Finland)

14:00-16:00 — Keynote 2

Analysis of Data of Intelligent Transport Systems
Hacène Fouchal (Université de Reims Champagne-Ardenne, France)

16:30-18:00 — Session 2

Cross Inference of Throughput Profiles Using Micro Kernel Network Method
Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam (Oak Ridge National Laboratory, USA), Zhengchun Liu, Rajkumar Kettimuthu and Ian Foster (Argonne National Laboratory, USA)

Machine Learning Models for Malicious Traffic Detection in IoT networks /IoT-23 dataset/
Chibueze Victor Oha, Fathima Shakoora Farouk, Pujan Pankaj Patel, Prithvi Meka, Sowmya Nekkanti, Bhageerath Nayini, Smit Xavier Carvalho, Nisarg Desai, Manishkumar Patel and Sergey Butakov (Concordia University of Edmonton, Canada)

Application and Mitigation of the Evasion Attack against a Deep Learning Based IDS for IoT
Nicholas Lurski (Johns Hopkins University, USA) and Mohamed Younis (University of Maryland, USA)

Thursday December 2nd, 2021

10:00-12:00 — Keynote 3

Beyond Shannon : A theory of semantic communication
Jean-Claude Belfiore (Huawei, France)

12:15-13:45 — Session 3

Distance estimation using LORA and neural networks
Mira Abboud (University of Prince Edward Island, Egypt), Charbel Nicolas and Gilbert Habib (Faculty of Sciences, Lebanese University, Lebanon)

Highlighting Intrinsic Botnets Exchanges with Supervised Machine Learning
Christophe Maudoux and Selma Boumerdassi (CNAM Paris, France)

Experimental Testbed and Evaluation of Road Anomaly Detection Algorithms
Van Khang Nguyen (Hue University, Vietnam), Éric Renault (ESIEE Paris — University Gustave Eiffel, France) and Selma Boumerdassi (CNAM Paris, France)

14:00-16:00 — Keynote 4

Add cognitive capabilities to apps with Azure Cognitive Services
Franck Gaillard (Microsoft, France)

16:15-17:45 — Session 4

DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering -- Best paper
Sheng Shen, Mariam Kiran and Bashir Mohammed (Lawrence Berkeley National Laboratory, USA)

Unsupervised Anomaly Detection using a new Knowledge Graph Model for Network Activity and Events
Paulo Gustavo Quinan, Issa Traore, Ujwal Reddy Ghondi (University of Victoria, Canada) and Isaac Woungang (Ryerson University, Canada)

Deep Reinforcement Learning for Cost-Effective Controller Placement in Software-Defined Multihop Wireless Networking
Afsane Zahmatkesh and Chung-Horng Lung (Carleton University, Canada)

17:45-18:00 — Conference closing

*Information for virtual visitors: all dates and times are indicated in CET (UTC+1).