Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022, Revised Selected Papers
by
 
Renault, Éric. editor.

Title
Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022, Revised Selected Papers

Author
Renault, Éric. editor.

ISBN
9783031361838

Edition
1st ed. 2023.

Physical Description
X, 180 p. 91 illus., 59 illus. in color. online resource.

Series
Lecture Notes in Computer Science, 13767

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. .

Added Author
Renault, Éric.
 
Mühlethaler, Paul.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-36183-8


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book521021-1001XX(521021.1)Elektronik Kütüphane