Topic: Wireless Network Security and Privacy

With the rapid development of wireless communication technology and the popularity of mobile smart terminal devices, Wireless Networks (WNs) are gradually being used in various fields, such as smart cities, e-healthcare, smart agriculture, smart grid, and autonomous vehicles, and unmanned aerial vehicles (UAVs). They are becoming an integral element of daily life for activities in which a sender may deliver critical data to a receiver without the usage of any physical media. Recent technological advancements in WNs provide several benefits such as ubiquitous high data rates, low latency, and high bandwidth. However, these advancements also introduce several limitations, such as challenges in security, privacy, reliability, authenticity, integrity, and scalability, which can impede the performance of WN-based applications. Although the scientific community has implemented effective radio resource management and cutting-edge technologies, such as artificial intelligence (AI), blockchain, and quantum communication, to improve network performance in wireless networks, the motivations of the attackers are constantly changing. New attacks are emerging, and the increasingly diverse demands for wireless networks, as network technologies evolve, present a challenge to existing solutions. Therefore, it is urgent and necessary to study security and optimization issues in the context of wireless networks. This Special Issue aims to collect the latest developments in the study of security and privacy of wireless networks.

Topics of interest include, but are not limited to:
● Secure and Flexible Blockchain Frameworks in WNs;
● Secure Communication Architectures in WNs;
● Fine-grained Access Control Design in WNs;
● Encrypted Solutions in WNs;
● Various Types of Encrypted Data Search in WNs;
● Machine Learning-based Intrusion Detection Techniques in WNs;
● Computation of Encrypted Data Based on Private Computing in WNs;
● Licensed and Unlicensed Bands for 5G and Beyond;
● Distributed and Federated Learning for Privacy in WNs;
● Safe and Secure AI-based Communications for UAVs;
● Blockchain Technology-based Solutions in WNs;
● Secure Data Integrity and Validation Techniques for WNs;
● Emerging Security and Privacy Challenges in WNs.

Academics, research students and professionals are invited to submit their original work. Extended conference papers are also welcome, provided they have been revised and contain at least 50% new content.

Wireless networks (WNs), blockchain technology, machine learning, security issues, privacy

28 Feb 2025