ML-assisted Security for Anomaly Detection in Industrial IoT (IIoT) Applications
BR Konatham, T Simra, A Ghimire… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT) uses intelligent sensors and actuators, etc., to facilitate
the application of IoT in different industries. This paper presents a comparative analysis …
the application of IoT in different industries. This paper presents a comparative analysis …
A Secure Hybrid Deep Learning Technique for Anomaly Detection in IIoT Edge Computing
B Konatham, T Simra, F Amsaad, MI Ibrahem… - Authorea …, 2024 - essopenarchive.org
The IIoT network involves smart sensors, actuators, and technologies extending IoT
capabilities across industrial sectors. With the rapid development in connected technology …
capabilities across industrial sectors. With the rapid development in connected technology …
A secure and efficient IIoT anomaly detection approach using a hybrid deep learning technique
BR Konatham - 2023 - corescholar.libraries.wright.edu
Abstract The Industrial Internet of Things (IIoT) refers to a set of smart devices, ie, actuators,
detectors, smart sensors, and autonomous systems connected throughout the Internet to …
detectors, smart sensors, and autonomous systems connected throughout the Internet to …
Enhancing IoT Security: Optimizing Anomaly Detection through Machine Learning
As the Internet of Things (IoT) continues to evolve, securing IoT networks and devices
remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the …
remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the …
Revolutionizing IoT Network Security with Deep Learning-Anomaly Detection Model
M Vyas, R Vijayaganth, J Chandhok… - … on Electronics and …, 2023 - ieeexplore.ieee.org
The term “Internet of Things”(IoT) is used to describe the collection of data and the
connectivity of items to the web that requires little to no human interaction. The IoT is a …
connectivity of items to the web that requires little to no human interaction. The IoT is 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 …
IoT devices to improve their productivity. Applications such as smart cities, energy …
Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
Secure IIoT networks with hybrid CNN-GRU model using Edge-IIoTset
Industrial Internet of Things (IIoT), or Industry 4.0, is an application of IoT in the industrial
sector. Its main objective is to enhance product quality and optimize production costs by …
sector. Its main objective is to enhance product quality and optimize production costs by …
Effective anomaly detection using deep learning in IoT systems
Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …
concerning IoT devices, which are quickly spreading throughout various situations of …
Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment
N Chander, M Upendra Kumar - Cluster Computing, 2023 - Springer
Abstract Industrial Internet of Things (IIoT) acts as essential part of the revolutionary
transition of conventional industries towards Industry 4.0. By the integration of instruments …
transition of conventional industries towards Industry 4.0. By the integration of instruments …