Machine Learning for Networking: 4th International Conference, Mln 2021, Virtual Event, December 1-3, 2021, Proceedings

ISBN-13: 9783030989774 / Angielski / Miękka / 2022 / 172 str.

Éric Renault; Selma Boumerdassi; Paul Mühlethaler

Spis treści

Evaluation of Machine Learning Methods for Image Classification: A Case Study of Facility Surface Damage.- One-Dimensional Convolutional Neural Network for Detection and Mitigation of DDoS Attacks in SDN.- Multi-Armed Bandit-based Channel Hopping: Implementation on Embedded Devices.- Cross Inference of Throughput Profiles Using Micro Kernel Network Method.- Machine Learning Models for Malicious Traffic Detection in IoT networks /IoT-23 dataset.- Application and Mitigation of the Evasion Attack against a Deep Learning Based IDS for Io.- DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering.- Unsupervised Anomaly Detection using a new Knowledge Graph Model for Network Activity and Events.- Deep Reinforcement Learning for Cost-Effective Controller Placement in Software-Defined Multihop Wireless Networking.- Distance estimation using LORA and neural networks.