[HTML][HTML] Digital twin-driven SDN for smart grid: A deep learning integrated blockchain for cybersecurity

P Kumar, R Kumar, A Aljuhani, D Javeed, A Jolfaei… - Solar Energy, 2023 - Elsevier
Abstract Internet of Things (IoT)-enabled Smart Grid (SG) network is envisioned as the next-
generation network for intelligent and efficient electric power transmission. In SG …

Fault diagnosis of actuator damage in UAVs using embedded recorded data and stacked machine learning models

LA Al-Haddad, AA Jaber, SA Al-Haddad… - The Journal of …, 2024 - Springer
Unmanned aerial vehicles (UAVs) have gained significant importance due to their wide
applicability in modern life. Fault diagnosis plays a crucial role in ensuring their safe and …

Convnext-Eesnn: An effective deep learning based malware detection in edge based IIOT

D Maddali - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
A rising number of edge devices, like controllers, sensors, and robots, are crucial for
Industrial Internet of Things (IIoT) networks for collecting data for communication, storage …

Internet of Things Assisted Automated Ransomware Recognition using Harmony Search Algorithm with Deep Learning

S Karunakaran, M Maharajothi… - 2023 International …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) denotes a networking system of interrelated equipment's that is
capable of gathering and interchanging information in the Internet system with no human …

Detecting the Anomaly Attacks in Industrial IoT using Hybrid Feature Selection Based Modified Convolutional Neural Network

S Rallapalli, VK Tiwari, VS SD… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
When it comes to digitally transforming classic sectors towards Industry 4.0, the Industrial
Internet of Things (IIoT) is crucial. The IIoT improves the efficiency and productivity of …