Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …

With the rapid advancements and notable achievements across various application
domains, Machine Learning (ML) has become a vital element within the Internet of Things …

Better neural networks, more powerful computer hardware and signal Big Data make deep
learning increasingly important in Specific Emitter Identification (SEI). However, its …

Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure Internet of Things (IoT). Many deep learning (DL) …

The amalgamation of artificial intelligence with Internet of Things (AIoT) devices have seen a
rapid surge in growth, largely due to the effective implementation of deep neural network …

As modern communication technology advances apace, the digital communication signals
identification plays an important role in cognitive radio networks, the communication …

Computer vision applications like traffic monitoring, security checks, self-driving cars,
medical imaging, etc., rely heavily on machine learning models. It raises an essential …

Communication device recognition is a key problem of electromagnetic space perception. At
present, the traditional recognition technology is difficult to adapt to the complex signal …

In the last years, the number of IoT devices deployed has suffered an undoubted explosion,
reaching the scale of billions. However, some new cybersecurity issues have appeared …

This paper proposes a novel, data-agnostic, model poisoning attack on Federated Learning
(FL), by designing a new adversarial graph autoencoder (GAE)-based framework. The …