To date, most analysis of collaboration between malware authors has been performed on meta-data and compiled binaries, while ignoring artifacts...

Sentence transformers’ job is to convert pieces of text into embedded vectors, where similar (dissimilar) pieces of text have spatially...

Smartphones and mobile applications are staple tools in the operation of current-age public demonstrations, where they support organizers and participants...

Federated Learning (FL) permits different parties to collaboratively train a global model without disclosing their respective local labels. A crucial...

The rising popularity of Vehicle-to-Network (V2N) applications is driven by the Ultra-Reliable Low-Latency Communications (URLLC) service offered by 5G. The...

The Metaverse is a virtual world that is becoming increasingly popular. Recent technological advances, such as head-mounted displays and novel...

This paper investigates the accuracy and integrity of location data within the realm of Location-Based Mobile Marketing (LBMM). By analyzing...

Zero-touch network management is essential for beyond 5G and 6G systems, requiring full automation through a closed loop of data...

The ability to perform mobile traffic forecasting effectively with Deep Neural Networks (DNN) is instrumental to optimise resource management in...

Machine Learning (ML) models are widely used for cyberattack detection in Smart Grids (SG) based on Software-Defined Networks (SDN). However,...