Broadband Communications, Networks, and Systems
13th EAI International Conference, BROADNETS 2022, Virtual Event, March 12-13, 2023 Proceedings
Published on 30. July 2023
Book
Paperback/Softback
XII, 153 pages
978-3-031-40466-5 (ISBN)
Description
This book constitutes the refereed post-conference proceedings of the 13
th
EAI International Conference on Broadband Communications, Networks, and Systems, Broadnets 2022, which took place in March 2023. Due to COVID-19 pandemic the conference was held virtually.
The 9 full papers presented were carefully reviewed and selected from 23 submissions. The papers are thematically grouped as follows: Mobile Communication Networks; Mobile Software Security; and Algorithm, Model and Application. The scope of this conference is the 5G-enabled digital society.
The 9 full papers presented were carefully reviewed and selected from 23 submissions. The papers are thematically grouped as follows: Mobile Communication Networks; Mobile Software Security; and Algorithm, Model and Application. The scope of this conference is the 5G-enabled digital society.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
8 s/w Abbildungen, 31 farbige Abbildungen
XII, 153 p. 39 illus., 31 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
265 gr
ISBN-13
978-3-031-40466-5 (9783031404665)
DOI
10.1007/978-3-031-40467-2
Schweitzer Classification
Other editions
Additional editions
Wei Wang | Jun Wu
Broadband Communications, Networks, and Systems
13th EAI International Conference, BROADNETS 2022, Virtual Event, March 12-13, 2023 Proceedings
E-Book
07/2023
Springer
€69.54
Available for download
Content
Mobile Communication Networks
.- A new approach for measuring delay in 5G cellular networks.- Improving the Efficiency of WebRTC Layered Simulcast Using Software Defined Networking.-
Mobile Software Security
.- Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense against Metamorphic Ransomware Swarm Attack.- Android Malware Detection based on Static Analysis and Data Mining Techniques: A Systematic Literature Review.- MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection.-
Algorithm, Model and Application
.- BCTM: A Topic Modeling Method Based on External information.- An Empirical Study on Model Pruning and Quantization.- Client Selection Based on Diversity Scaling for Federated Learning on Non-IID Data.- A modern platform for social governance.