Centralized machine learning approaches for cyber-security raise significant privacy and
security concerns due to raw data aggregation from distributed sources. This paper presents …

Network Slicing (NS) has transformed the landscape of resource sharing in networks,
offering flexibility to support services and applications with highly variable requirements in …

The proliferation of cloud computing has amplified the need for robust privacy-preserving
technologies, particularly when dealing with sensitive financial and human resources (HR) …

Deep learning (DL) can be considered as a powerful tool in different fields and for different
applications but its importance raised the concern about privacy, security, and defense …

The next generation of mobile technology, 6G, will provide users with a 'hyper-connectivity'
experience in which everything will be interconnected. In the evolution of future hyper …