Optimized Bi-LSTM: a novel approach for attack detection in industrial IoT
Abstract The Industrial Internet of Things (IIoT) plays an important role as its implementation
requires scalable and secure methods. IIoT integrates databases, machines, various …
requires scalable and secure methods. IIoT integrates databases, machines, various …
Internet of Things: A Survey on Fused Machine Learning-Based Intrusion Detection Approaches
Abstract The Internet of Things (IoT) connects billions of interconnected devices that can
exchange information with each other with minimal user intervention. The goal of IoT is to …
exchange information with each other with minimal user intervention. The goal of IoT is to …
Detection of Attacks using Attention-based Conv-LSTM and Bi-LSTM in Industrial Internet of Things
DS Misbha - 2022 International Conference on Automation …, 2022 - ieeexplore.ieee.org
This research work proposes an attack detection algorithm for the industrial internet of things
(IIoT) which uses an attention-based Conv-LSTM and Bidirectional Long short-term memory …
(IIoT) which uses an attention-based Conv-LSTM and Bidirectional Long short-term memory …
Deep learning based attack detection in IIoT using two-level intrusion detection system
Abstract The Industrial Internet of Things (IIoT), also known as Industry 4.0, has brought a
revolution in the production and manufacturing sectors as it assists in the automation of …
revolution in the production and manufacturing sectors as it assists in the automation of …
IIoT Intrusion Detection using Lightweight Deep Learning Models on Edge Devices
In the rapidly evolving cybersecurity landscape, detecting and preventing network attacks
has become crucial within the industrial sector. This study aims to explore the potential of …
has become crucial within the industrial sector. This study aims to explore the potential of …
Enhancing IoT security through deep learning-based intrusion detection
A Jyotsna, EA Mary Anita - International Conference on Computer and …, 2023 - Springer
Abstract The Internet of Things (IoT) has revolutionized the way we interact with technology
by connecting everyday devices to the internet. However, this increased connectivity also …
by connecting everyday devices to the internet. However, this increased connectivity also …
DRaNN: A deep random neural network model for intrusion detection in industrial IoT
Industrial Internet of Things (IIoT) has arisen as an emerging trend in the industrial sector.
Millions of sensors present in IIoT networks generate a massive amount of data that can …
Millions of sensors present in IIoT networks generate a massive amount of data that can …
Intrusion detection in iot using deep learning
AM Banaamah, I Ahmad - Sensors, 2022 - mdpi.com
Cybersecurity has been widely used in various applications, such as intelligent industrial
systems, homes, personal devices, and cars, and has led to innovative developments that …
systems, homes, personal devices, and cars, and has led to innovative developments that …
[PDF][PDF] Machine Learning-Based Intrusion Detection Systems for IoT Security: A Survey
M Panahi, F Roumanjani, V Ranjbar - researchgate.net
The rapid growth of the Internet of Things (IoT) has brought about numerous security
challenges, making it essential to develop effective intrusion detection systems (IDS) to …
challenges, making it essential to develop effective intrusion detection systems (IDS) to …
Machine Learning-Based Intrusion Detection Approaches for Secured Internet of Things
Nowadays, protecting communication and information for Internet of Things (IOT) has
emerged as a critical challenge. Existing systems use firewalls to ensure that they are safe …
emerged as a critical challenge. Existing systems use firewalls to ensure that they are safe …