The open nature of the wireless communication medium renders it vulnerable to jamming
attacks by malicious users. To detect their presence and to avoid such attacks, several …

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 …

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 …

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

A jamming combating power allocation strategy is proposed to secure the data
communication in IoT networks. The proposed strategy aims to minimize the worst case …

Due to the open nature of wireless communication, malicious electromagnetic jamming has
long been a severe threat to the establishment and stability of communication links. To …

A secure energy efficient approach is proposed to connect Internet of Things (IoT) sensors
that operate with limited power resources. This is done by optimizing simultaneously the …

We consider a wireless jamming game played by a receiver and a malicious interferer that
wants to disrupt communication. The outcome of the game depends on the characteristics of …

The Internet of Things (IoT) is used to interconnect a massive number of heterogeneous
resource-constrained smart devices. This makes such networks exposed to various types of …

It is estimated that by 2030, more than 60% of the population is going to live in cities.
Overpopulation in urban cities causes numerous problems including environmental …