Broadband Communications, Networks, and Systems

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.

Klappentext

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.

Inhalt
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.