Artificial intelligence-based cyber security in the context of industry 4.0—a survey
The increase in cyber-attacks impacts the performance of organizations in the industrial
sector, exploiting the vulnerabilities of networked machines. The increasing digitization and …
sector, exploiting the vulnerabilities of networked machines. The increasing digitization and …
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 …
Internet of Things (IoT). The emergence of IIoT has enabled a revolution in manufacturing …
[HTML][HTML] Hybridization of Learning Techniques and Quantum Mechanism for IIoT Security: Applications, Challenges, and Prospects
This article describes our point of view regarding the security capabilities of classical
learning algorithms (CLAs) and quantum mechanisms (QM) in the industrial Internet of …
learning algorithms (CLAs) and quantum mechanisms (QM) in the industrial Internet of …
A secure blockchain-assisted access control scheme for smart healthcare system in fog computing
J Li, D Li, X Zhang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
IoT-based smart healthcare system (SHS) allows doctors to monitor and diagnose patients
remotely, which can greatly ease overcrowding in the hospitals and disequilibrium of …
remotely, which can greatly ease overcrowding in the hospitals and disequilibrium of …
DeBot: A deep learning-based model for bot detection in industrial internet-of-things
In this paper, we show a deep learning model for bot detection, named as DeBot, for
industrial network traffic. DeBot uses a novel Cascade Forward Back Propagation Neural …
industrial network traffic. DeBot uses a novel Cascade Forward Back Propagation Neural …
Sliding principal component and dynamic reward reinforcement learning based IIoT attack detection
Abstract The Internet of Things (IoT) involves the gathering of all those devices that connect
to the Internet with the purpose of collecting and sharing data. The application of IoT in the …
to the Internet with the purpose of collecting and sharing data. The application of IoT in the …
[HTML][HTML] An innovative GPT-based open-source intelligence using historical cyber incident reports
F Sufi - Natural Language Processing Journal, 2024 - Elsevier
In contemporary discourse, the pervasive influences of Generative Pre-Trained (GPT) and
Large Language Models (LLM) are evident, showcasing diverse applications. GPT-based …
Large Language Models (LLM) are evident, showcasing diverse applications. GPT-based …
Fusion of machine learning and blockchain-based privacy-preserving approach for healthcare data in the Internet of Things
In recent years, the rapid integration of Internet of Things (IoT) devices into the healthcare
sector has brought about revolutionary advancements in patient care and data …
sector has brought about revolutionary advancements in patient care and data …
Studying Imbalanced Learning for Anomaly-Based Intelligent IDS for Mission-Critical Internet of Things
Training-anomaly-based, machine-learning-based, intrusion detection systems (AMiDS) for
use in critical Internet of Things (CioT) systems and military Internet of Things (MioT) …
use in critical Internet of Things (CioT) systems and military Internet of Things (MioT) …
A survey on botnets attack detection utilizing machine and deep learning models
Botnets can be a major risk to computer networks, as they attack in dangerous and diverse
ways. They are becoming increasingly challenging due to the massive amount of network …
ways. They are becoming increasingly challenging due to the massive amount of network …