Explainable artificial intelligence applications in cyber security: State-of-the-art in research

Z Zhang, H Al Hamadi, E Damiani, CY Yeun… - IEEE …, 2022 - ieeexplore.ieee.org
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …

Blockchain-based solutions supporting reliable healthcare for fog computing and Internet of medical things (IoMT) integration

S Alam, M Shuaib, S Ahmad, DNK Jayakody… - Sustainability, 2022 - mdpi.com
The Internet of Things (IoT) has radically transformed how patient information and
healthcare monitoring are monitored and recorded and has revolutionized the area by …

[HTML][HTML] Federated learning for malware detection in IoT devices

V Rey, PMS Sánchez, AH Celdrán, G Bovet - Computer Networks, 2022 - Elsevier
Billions of IoT devices lacking proper security mechanisms have been manufactured and
deployed for the last years, and more will come with the development of Beyond 5G …

A novel IoT network intrusion detection approach based on adaptive particle swarm optimization convolutional neural network

X Kan, Y Fan, Z Fang, L Cao, NN ** the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …

Systematic literature review on IoT-based botnet attack

I Ali, AIA Ahmed, A Almogren, MA Raza, SA Shah… - IEEE …, 2020 - ieeexplore.ieee.org
The adoption of the Internet of Things (IoT) technology is expanding exponentially because
of its capability to provide a better service. This technology has been successfully …

[PDF][PDF] DNNBoT: Deep neural network-based botnet detection and classification.

MA Haq, MA Rahim Khan - Computers, Materials & Continua, 2022 - cdn.techscience.cn
The evolution and expansion of IoT devices reduced human efforts, increased resource
utilization, and saved time; however, IoT devices create significant challenges such as lack …