[HTML][HTML] Deep Learning techniques for web-based attack detection in industry 5.0: a novel approach
As the manufacturing industry advances towards Industry 5.0, which heavily integrates
advanced technologies such as cyber-physical systems, artificial intelligence, and the …
advanced technologies such as cyber-physical systems, artificial intelligence, and the …
A snapshot ensemble deep neural network model for attack detection in industrial internet of things
In the past few years, the Industrial Internet of Things (IIoT) started to emerge in different
industry sectors. IIoT connects different physical equipment and systems in order to operate …
industry sectors. IIoT connects different physical equipment and systems in order to operate …
Convolutional neural networks for multi-class intrusion detection system
S Potluri, S Ahmed, C Diedrich - … Cluj-Napoca, Romania, December 20–22 …, 2018 - Springer
Advances in communication and networking technology leads to the use of internet-based
technology in Industrial Control System (ICS) applications. Simultaneously to the …
technology in Industrial Control System (ICS) applications. Simultaneously to the …
[HTML][HTML] Detecting vulnerabilities in critical infrastructures by classifying exposed industrial control systems using deep learning
Featured Application We present a deep-learning-based pipeline to solve a novel problem
in Cybersecurity and Industry 4.0. Our proposal, which automatically classifies screenshots …
in Cybersecurity and Industry 4.0. Our proposal, which automatically classifies screenshots …
Machine learning based intrusion detection system for web-based attacks
S Sharma, P Zavarsky, S Butakov - 2020 IEEE 6th intl …, 2020 - ieeexplore.ieee.org
Various studies have been performed to explore the feasibility of detection of web-based
attacks by machine learning techniques. False-positive and false-negative results have …
attacks by machine learning techniques. False-positive and false-negative results have …
A hybrid deep random neural network for cyberattack detection in the industrial internet of things
The Industrial Internet of Things (IIoT) refers to the use of traditional Internet of Things (IoT)
concepts in industrial sectors and applications. IIoT has several applications in smart homes …
concepts in industrial sectors and applications. IIoT has several applications in smart homes …
A deep hybrid learning model for detection of cyber attacks in industrial IoT devices
With the rapid advancement of wireless technology, the problem of cybersecurity monitoring
and detection of cyber-attacks has been receiving widespread attention from industry and …
and detection of cyber-attacks has been receiving widespread attention from industry and …
A novel fully convolutional neural network approach for detection and classification of attacks on industrial IoT devices in smart manufacturing systems
Abstract Recently, Internet of things (IoT) devices have been widely implemented and
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
[HTML][HTML] An Artificial Neural Network Autoencoder for Insider Cyber Security Threat Detection
K Saminathan, STR Mulka, S Damodharan… - Future Internet, 2023 - mdpi.com
The COVID-19 pandemic made all organizations and enterprises work on cloud platforms
from home, which greatly facilitates cyberattacks. Employees who work remotely and use …
from home, which greatly facilitates cyberattacks. Employees who work remotely and use …
Cyber-attacks detection in industrial systems using artificial intelligence-driven methods
Modern industrial systems and critical infrastructures are constantly exposed to malicious
cyber-attacks that are challenging and difficult to identify. Cyber-attacks can cause severe …
cyber-attacks that are challenging and difficult to identify. Cyber-attacks can cause severe …