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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for networking/ edited by Eric Renault, Paul Muhlethaler.
Reminder of title:	5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers /
remainder title:	MLN 2022
other author:	Renault, Eric.
corporate name:	MLN (Conference)
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	x, 180 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-36183-8
ISBN:	9783031361838

Machine learning for networking = 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers /
Machine learning for networking5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers /[electronic resource] :MLN 2022edited by Eric Renault, Paul Muhlethaler. - Cham :Springer Nature Switzerland :2023. - x, 180 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,137670302-9743 ;. - Lecture notes in computer science ;13767..

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.

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 novel ideas, results, experiences and work-in-process on all aspects of Machine Learning and Networking.

ISBN: 9783031361838

Standard No.: 10.1007/978-3-031-36183-8doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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