DDoS attacks in Industrial IoT: A survey

S Chaudhary, PK Mishra - Computer Networks, 2023 - Elsevier
As the IoT expands its influence, its effect is becoming macroscopic and pervasive. One of
the most discernible effects is in the industries where it is known as Industrial IoT (IIoT). IIoT …

[HTML][HTML] Anomaly classification in industrial Internet of things: A review

M Rodríguez, DP Tobón, D Múnera - Intelligent Systems with Applications, 2023 - Elsevier
The fourth industrial revolution (Industry 4.0) has the potential to provide real-time, secure,
and autonomous manufacturing environments. The Industrial Internet of Things (IIoT) is a …

[HTML][HTML] Design of Efficient Based Artificial Intelligence Approaches for Sustainable of Cyber Security in Smart Industrial Control System

A Alzahrani, THH Aldhyani - Sustainability, 2023 - mdpi.com
Online food security and industrial environments and sustainability-related industries are
highly confidential and in urgent need for network traffic analysis to attain proper security …

Enhancing upper limb prosthetic control in amputees using non-invasive EEG and EMG signals with machine learning techniques

HM Radha, AKA Hassan… - aro-the scientific journal …, 2023 - aro.koyauniversity.org
Amputation of the upper limb significantly hinders the ability of patients to perform activities
of daily living. To address this challenge, this paper introduces a novel approach that …

[HTML][HTML] Research on Adaptive 1DCNN Network Intrusion Detection Technology Based on BSGM Mixed Sampling

W Ma, C Gou, Y Hou - Sensors, 2023 - mdpi.com
The development of internet technology has brought us benefits, but at the same time, there
has been a surge in network attack incidents, posing a serious threat to network security. In …

Intrusion detection of manifold regularized broad learning system based on LU decomposition

Y Liu, K Zhang, Z Wang - The Journal of Supercomputing, 2023 - Springer
Abstract Broad Learning System (BLS) is proposed as an alternative to deep learning. It has
a fast adaptive model selection and online incremental learning capability, which has been …

[HTML][HTML] An integrated intrusion detection framework based on subspace clustering and ensemble learning

J Zhu, X Liu - Computers and Electrical Engineering, 2024 - Elsevier
In the rapidly evolving landscape of the Internet of Things (IoT), ensuring robust intrusion
detection is paramount for device and data security. This paper proposes a novel method for …

A feature selection based on genetic algorithm for intrusion detection of industrial control systems

Y Fang, Y Yao, X Lin, J Wang, H Zhai - Computers & Security, 2024 - Elsevier
With the popularity of Internet technology, industrial control systems (ICS) have started to
access the Internet, which significantly facilitates engineers to manage ICS remotely but also …

[HTML][HTML] Tides of Blockchain in IoT Cybersecurity

LAC Ahakonye, CI Nwakanma, DS Kim - Sensors, 2024 - mdpi.com
This paper surveys the implementation of blockchain technology in cybersecurity in Internet
of Things (IoT) networks, presenting a comprehensive framework that integrates blockchain …

Network intrusion detection: An optimized deep learning approach using big data analytics

DS Mary, LJS Dhas, AR Deepa, MA Chaurasia… - Expert Systems with …, 2024 - Elsevier
Managing enormous amounts of data, such as big data, and detecting network traffic
intrusions are inefficiently handled by current computing technologies. Traditional analytical …