Abstract The Internet of Things (IoT) has emerged as an inevitable part of human life, that
includes online learning, smart homes, smart cars, smart grids, smart cities, agriculture, and …

In healthcare, the Internet of Things (IoT) is used to remotely monitor patients and provide
real-time diagnoses, which is referred to as the Internet of Medical Things (IoMT). This …

Real-time deep learning faces the challenge of balancing accuracy and time, especially in
cybersecurity where intrusion detection is crucial. Traditional deep learning techniques have …

Dedicated hybrid engine technology using auxiliary electronic components has been proven
as an energy-saving solution to public concerns about energy consumption and carbon …

Abstract Internet of Things (IoTs) are integral part of Web3, in which they are used for
information collecting and sharing. However, the limited storage capacity of IoT decides …

The increasing complexity and demands of modern power grids necessitate advanced
solutions for real-time monitoring and control. This paper presents a novel cross-domain …

Distributed Denial of Service (DDoS) attacks have increased in frequency and sophistication
over the last ten years. Part of the challenge of defending against such attacks requires the …

Due to technological advancements, most devices are generating a significant amount of
data which needs appropriate technology to handle the data generated by IoT devices. Fog …

Designing an Intrusion Detection System (IDS) for attack detection in IoT networks is done
by applying different machine learning and deep learning approaches. Standard CIE …

In the current environment of the Artificial Intelligence of Things (AIoT), the necessity to
develop efficient cyber attack detection systems is essential. In this regard, this paper …