[HTML][HTML] ELBA-IoT: An ensemble learning model for botnet attack detection in IoT networks

Q Abu Al-Haija, M Al-Dala'ien - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Due to the prompt expansion and development of intelligent systems and autonomous,
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …

[HTML][HTML] A survey on industrial Internet of Things security: Requirements, attacks, AI-based solutions, and edge computing opportunities

B Alotaibi - Sensors, 2023 - mdpi.com
The Industrial Internet of Things (IIoT) paradigm is a key research area derived from the
Internet of Things (IoT). The emergence of IIoT has enabled a revolution in manufacturing …

[HTML][HTML] Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …

[HTML][HTML] Safety, security and privacy in machine learning based internet of things

G Abbas, A Mehmood, M Carsten… - Journal of Sensor and …, 2022 - mdpi.com
Recent developments in communication and information technologies, especially in the
internet of things (IoT), have greatly changed and improved the human lifestyle. Due to the …

[HTML][HTML] Securing internet of things using machine and deep learning methods: a survey

A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …

3D-IDS: Doubly Disentangled Dynamic Intrusion Detection

C Qiu, Y Geng, J Lu, K Chen, S Zhu, Y Su… - Proceedings of the 29th …, 2023 - dl.acm.org
Network-based intrusion detection system (NIDS) monitors network traffic for malicious
activities, forming the frontline defense against increasing attacks over information …

Cyber-security of industrial internet of things in electric power systems

H Sarjan, A Ameli, M Ghafouri - IEEE Access, 2022 - ieeexplore.ieee.org
Electric Power Systems (EPSs) are among the most critical infrastructures of any society,
since they significantly impact other infrastructures. Recently, there has been a trend toward …

[HTML][HTML] FSL: federated sequential learning-based cyberattack detection for Industrial Internet of Things

F Li, J Lin, H Han - Industrial Artificial Intelligence, 2023 - Springer
Abstract Industrial Internet of Things (IIoT) brings revolutionary technical supports to modern
industries. However, today's IIoT still faces the challenges of modeling varying time-series in …

An improved technique for pneumonia infected patients image recognition based on combination algorithm of smooth generalized pinball SVM and variational …

W Ratiphaphongthon, W Panup, R Wangkeeree - IEEE Access, 2022 - ieeexplore.ieee.org
We present a method based on combining a smooth generalized pinball support vector
machine (SVM) and variational autoencoders (VAEs) in chest X-ray (CXR) images. We …

[PDF][PDF] Traffic Classification of IoT Devices by Utilizing Spike Neural Network Learning Approach.

AR Zarzoor, NAS Al-Jamali… - … Modelling of Engineering …, 2023 - researchgate.net
Accepted: 13 March 2023 Whenever, the Internet of Things (IoT) applications and devices
increased, the capability of the its access frequently stressed. That can lead a significant …