Machine learning for networking : 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022, revised selected papers

Machine learning for networking : 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022, revised selected papers / Éric Renault, Paul Mühlethaler, editors.

This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning for Networking, MLN 2022, held in Paris, France, November 28-30, 2022. The 12 full papers presented in this book were carefully reviewed and selected from 27 submissions. The papers present...

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Bibliographic Details
Corporate Author: International Conference on Machine Learning for Networking Paris, France
Other Authors: Renault, Éric (Computer scientist) (Editor), Mühlethaler, Paul (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2023]
Series:Lecture notes in computer science ; 13767.
Subjects:
Machine learning > Congresses.
Computer networks > Congresses.
Computer networks
Machine learning
Electronic books.
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Comparison of AI-based algorithms for low energy communication
  • Development of an Intent-Based Network incorporating Machine Learning for service Assurance of E-commerce Online Stores
  • Cyber-attack proactive defense using multivariate time series and machine learning with Fuzzy Inference-based Decision System
  • iPerfOPS: a Tool for Machine Learning-Based Optimization through Protocol Selection
  • GRAPHSEC
  • Advancing the Application of AI/ML to Network Security through Graph Neural Networks
  • Low Complexity Adaptive ML Approaches for End-to-End Latency Prediction
  • TDMA-based MAC protocols designed or optimized using Artificial Intelligence for safety data dissemination in Vehicular ad-hoc network: A Survey
  • A Machine Learning Based Approach to Detect Stealthy Cobalt Strike C\&C Activities from Encrypted Network Traffic
  • Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents
  • Deep Learning Based Camera Switching for Sports Broadcasting
  • Phisherman: Phishing Link Scanner
  • Leader-Assisted Client Selection for Federated Learning in Iot via the Cooperation of Nearby Devices. .

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