Machine Learning for Networking  5th International Conference, MLN 2022, Paris, France, November 28-30, 2022, Revised Selected Papers /  [electronic resource] : 
edited by Éric Renault, Paul Mühlethaler. 
 - 1st ed. 2023. 
 - X, 180 p. 91 illus., 59 illus. in color.  online resource. 
 - Lecture Notes in Computer Science,  13767  1611-3349 ; .
 - Lecture Notes in Computer Science,  13767 .
<br/><br/>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. . 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783031361838 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-36183-8  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Computer networks .<br/>Application software.<br/>Data Mining and Knowledge Discovery.<br/>Computer Communication Networks.<br/>Computer and Information Systems Applications.
<br/><br/><label>LC Class. No.: </label>QA76.9.D343 
<br/><br/><label>Dewey Class. No.: </label>006.312