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Machine Learning for Networking

Machine Learning for Networking

4th International Conference, MLN 2021, Virtual Event, December 1-3, 2021, Proceedings

by Éric RenaultSelma Boumerdassi and Paul Mühlethaler
Paperback
Publication Date: 23/03/2022

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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.


ISBN:
9783030989774
9783030989774
Category:
Data mining
Format:
Paperback
Publication Date:
23-03-2022
Language:
English
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Dimensions (mm):
235x155mm
Weight:
0.27kg

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