[PDF][PDF] Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment.

KM Alalayah, FS Alrayes, JS Alzahrani… - Comput. Syst. Sci …, 2023 - academia.edu
With the increased advancements of smart industries, cybersecurity has become a vital
growth factor in the success of industrial transformation. The Industrial Internet of Things …

[PDF][PDF] Intrusion Detection System for Big Data Analytics in IoT Environment.

M Anuradha, G Mani, T Shanthi… - … Systems Science & …, 2022 - cdn.techscience.cn
In the digital area, Internet of Things (IoT) and connected objects generate a huge quantity of
data traffic which feeds big data analytic models to discover hidden patterns and detect …

[PDF][PDF] Intrusion detection in the Internet of Things using fusion of GRU-LSTM deep learning model

MS Al-kahtani, Z Mehmood, T Sadad… - … Automation & Soft …, 2023 - researchgate.net
Cybersecurity threats are increasing rapidly as hackers use advanced techniques. As a
result, cybersecurity has now a significant factor in protecting organizational limits. Intrusion …

[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things

S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …

[PDF][PDF] Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment

MA Hamza, AHA Hashim, HG Mohamed… - … Computers Materials & …, 2022 - academia.edu
Internet of Everything (IoE), the recent technological advancement, represents an
interconnected network of people, processes, data, and things. In recent times, IoE gained …

[HTML][HTML] A new deep-learning with swarm based feature selection for intelligent intrusion detection for the Internet of things

R Anushiya, VS Lavanya - Measurement: Sensors, 2023 - Elsevier
Humanity can benefit from the Internet of Things (IoT) paradigm in many different ways. IoT
devices are nonetheless susceptible to different cyber-attacks launched by the attacker …

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 …

A detailed review of implementation of deep learning approaches for industrial internet of things with the different opportunities and challenges

A Saxena, B Pant, J Alanya-Beltran… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) has become one of the most rapidly developing
innovative technologies in recent years, with the potential to digitize and connect numerous …

Automated cyberattack detection using optimal ensemble deep learning model

T Vaiyapuri, K Shankar, S Rajendran… - Transactions on …, 2024 - Wiley Online Library
In recent times, the Industrial Internet of Things (IIoT) has developed significantly. In the
application of automation, and intelligence, industrial digitalization introduced cyber risks …

A new intrusion detection system for the internet of things via deep convolutional neural network and feature engineering

S Ullah, J Ahmad, MA Khan, EH Alkhammash… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a widely used technology in automated network systems
across the world. The impact of the IoT on different industries has occurred in recent years …