Machine Learning for Networking [E-Book] : 4th International Conference, MLN 2021, Virtual Event, December 1-3, 2021, Proceedings / edited by Éric Renault, Selma Boumerdassi, Paul Mühlethaler.
This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They presen...
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Full text |
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Personal Name(s): | Boumerdassi, Selma, editor |
Mühlethaler, Paul, editor / Renault, Éric, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
|
Physical Description: |
X, 161 pages 69 illustrations, 50 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030989781 |
DOI: |
10.1007/978-3-030-98978-1 |
Series Title: |
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Lecture Notes in Computer Science ;
13175 |
Subject (LOC): |
- 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.