Satellite communication networks have been considered an integral part of B5G and 6G
networks to achieve global coverage and enhanced Internet services. However, the …

Malicious jamming attacks have been regarded as a serious threat to Internet of Things (IoT)
networks, which can significantly degrade the Quality of Service (QoS) of users. This article …

Federated Learning (FL) is a rapidly growing field in machine learning that allows data to be
trained across multiple decentralized devices. The selection of clients to participate in the …

To ensure an accurate power allocation against increasing intelligent jamming attacks on
the offloading link of computation tasks, we investigate interactions between a cluster head …

This paper investigates a system with two strategic sources, both being able to update a
given information process at the receiver's end, but doing so independently and …

Federated learning (FL) enables an effective and private distributed learning process.
However, it is vulnerable against several types of attacks, such as Byzantine behaviors. The …

Non-orthogonal multiple access (NOMA) in satellite communication (SATCOM) system can
bring high spectral efficiency and massive connectivity. In this paper, we investigate files …

Federated Learning (FL) is a machine learning approach that enables private and
decentralized model training. Although FL has been shown to be very useful in several …

Underwater acoustic backscatter communication, which allows an underwater sensor node
(USN) to communicate with the surface sink node (SN) by reflecting the acoustic signal from …

Potential eavesdropping and malicious jamming attacks pose an enormous threat to
wireless communication. In this paper, a novel architecture of reconfigurable intelligent …