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This book constitutes the refereed post-conference proceedings of the 17th EAI International Conference on Quality, Reliability, Security and Robustness in Heterogeneous Networks, QShine 2021, held in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 20 revised full papers were carefully reviewed and selected from 43 submissions. The papers are organized thematically in tracks Machine Learning in Distributed Networks; 5G Networks and Security; IoT Security and Lightweight Cryptography; Network Security; and Privacy-preserving Emerging Networked Applications.
This book investigates the critical aspects of quality, reliability, security, and robustness within complex, heterogeneous systems. It presents revised research from the 17th EAI International Conference, QShine 2021, focusing on challenges and solutions in modern networked environments. The selected papers address themes ranging from machine learning applications in distributed networks to the security of 5G and IoT technologies, as well as privacy in emerging networked applications.
This collection of proceedings offers a focused look at contemporary challenges in network systems, as evidenced by the selection of papers from the QShine 2021 conference. The thematic organization suggests a comprehensive overview of current research trends in areas critical to modern digital infrastructure. The inclusion of topics like 5G, IoT security, and machine learning indicates a relevance to both academic and industry professionals.
Page Count:
353
Publication Date:
2021-11-17
Publisher:
Springer International Publishing
ISBN-10:
3030914232
ISBN-13:
9783030914233
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