[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things

S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …

Blockchain-based authentication and explainable AI for securing consumer IoT applications

R Kumar, D Javeed, A Aljuhani, A Jolfaei… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The consumer Internet of Things (IoT) applications in particular smart cities are mostly
equipped with Internet-connected networked devices to improve city operations by giving …

[PDF][PDF] Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques.

O Taouali, S Bacha, K Ben Abdellafou… - … Systems Science & …, 2023 - cdn.techscience.cn
Introducing IoT devices to healthcare fields has made it possible to remotely monitor
patients' information and provide a proper diagnosis as needed, resulting in the Internet of …

Golden Jackal Optimization with a Deep Learning-Based Cybersecurity Solution in Industrial Internet of Things Systems

LA Maghrabi, IR Alzahrani, D Alsalman, ZM AlKubaisy… - Electronics, 2023 - mdpi.com
Recently, artificial intelligence (AI) has gained an abundance of attention in cybersecurity for
Industry 4.0 and has shown immense benefits in a large number of applications. AI …

[PDF][PDF] Intelligent Intrusion Detection for Industrial Internet of Things Using Clustering Techniques.

N Alenezi, A Aljuhani - Computer Systems Science & …, 2023 - cdn.techscience.cn
The rapid growth of the Internet of Things (IoT) in the industrial sector has given rise to a new
term: the Industrial Internet of Things (IIoT). The IIoT is a collection of devices, apps, and …

An anomaly detection framework for twitter data

S Kumar, MB Khan, MHA Hasanat, AKJ Saudagar… - Applied Sciences, 2022 - mdpi.com
An anomaly indicates something unusual, related to detecting a sudden behavior change,
and is also helpful in detecting irregular and malicious behavior. Anomaly detection …

IDS-Chain: a collaborative intrusion detection framework empowered blockchain for internet of medical things

A Aljuhani - 2022 IEEE Cloud Summit, 2022 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) has been integrated and deployed in the health care
domain as it significantly facilitates medical services for both health care providers and …

Deep Learning based Network based Intrusion Detection System in Industrial Internet of Things

JAB Angelin, C Priyadharsini - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is the result of integrating the Internet of Things (IoT)
into critical industries, especially in industrial and production settings. The industrial Internet …

Empowering Cybersecurity Using Enhanced Rat Swarm Optimization with Deep Stack-Based Ensemble Learning Approach

P Manickam, M Girija, AK Dutta, PR Babu… - IEEE …, 2024 - ieeexplore.ieee.org
Cybersecurity is a vital technology and measures intended to protect networks, computers,
information, and programs from threats and illegal access, modification, or damage. A …

Anomaly Detection Algorithm of Industrial Internet of Things Data Platform Based on Deep Learning

X Li, C Xie, Z Zhao, C Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) causes most industrial applications to utilize
IoT devices to improve their productivity. Applications such as smart cities, energy …