Identification of malicious activities in industrial internet of things based on deep learning models
Abstract Internet Industrial Control Systems (IICSs) that connect technological appliances
and services with physical systems have become a new direction of research as they face …
and services with physical systems have become a new direction of research as they face …
Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection
JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …
and services to physical systems. The IIoT has been used to generate large quantities of …
Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
A novel intrusion detection model for detecting known and innovative cyberattacks using convolutional neural network
S Ho, S Al Jufout, K Dajani… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
As a tremendous amount of service being streamed online to their users along with massive
digital privacy information transmitted in recent years, the internet has become the backbone …
digital privacy information transmitted in recent years, the internet has become the backbone …
Anomaly events classification and detection system in critical industrial internet of things infrastructure using machine learning algorithms
GEI Selim, EZZED Hemdan, AM Shehata… - Multimedia Tools and …, 2021 - Springer
Abstract Industrial Control System is used in the industrial process for reducing the human
factor burden and handling the complex industrial system process and communications …
factor burden and handling the complex industrial system process and communications …
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 …
[PDF][PDF] A survey of intrusion detection using deep learning in internet of things
AD Jasim - Iraqi Journal For Computer Science and Mathematics, 2022 - iasj.net
The use of deep learning in various models is a powerful tool in detecting Internet of Things
(IoT) attacks and identifying new types of intrusion to access a better secure network. The …
(IoT) attacks and identifying new types of intrusion to access a better secure network. The …
Cyber security threats detection in internet of things using deep learning approach
The IoT (Internet of Things) connect systems, applications, data storage, and services that
may be a new gateway for cyber-attacks as they continuously offer services in the …
may be a new gateway for cyber-attacks as they continuously offer services in the …
[HTML][HTML] Cyber threat intelligence using PCA-DNN model to detect abnormal network behavior
Security issues are the most critical challenges facing new technologies associated with the
internet of things (IoT), big data, and cloud computing. A secure and efficient intrusion …
internet of things (IoT), big data, and cloud computing. A secure and efficient intrusion …
Enhanced network anomaly detection based on deep neural networks
Due to the monumental growth of Internet applications in the last decade, the need for
security of information network has increased manifolds. As a primary defense of network …
security of information network has increased manifolds. As a primary defense of network …