An advanced intrusion detection system for IIoT based on GA and tree based algorithms

SM Kasongo - IEEE Access, 2021 - ieeexplore.ieee.org
The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …

[HTML][HTML] OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems

SSN Chintapalli, SP Singh, J Frnda, PB Divakarachari… - Heliyon, 2024 - cell.com
Abstract Currently, the Internet of Things (IoT) generates a huge amount of traffic data in
communication and information technology. The diversification and integration of IoT …

Design of an advance intrusion detection system for IoT networks

A Sarwar, S Hasan, WU Khan, S Ahmed… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) is advancing technology by creating smart surroundings that
make it easier for humans to do their work. This technological advancement not only …

Intrusion detection system with an ensemble learning and feature selection framework for IoT networks

G Rohini, C Gnana Kousalya, J Bino - IETE Journal of Research, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) and its applications are currently the most popular
research areas. The properties of IoT are easily adapted to real-life applications but they …

[PDF][PDF] A hybrid classification approach for intrusion detection in iot network

S Choudhary, N Kesswani - 2021 - core.ac.uk
With the increase in number of IoT devices, the capabilities to provide reliable security and
detect the malicious activities within the IoT network have become quite challenging. We …

Ensembling PCA-based feature selection with random tree classifier for intrusion detection on IoT network

N Alsharif - 2021 8th International Conference on Electrical …, 2021 - ieeexplore.ieee.org
Technologies, applications and services of Internet of Things (IoT) are growing
tremendously. This IoT blast provides an extensive choice of opportunities for consumers …

[HTML][HTML] Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system

A Fatani, A Dahou, MAA Al-Qaness, S Lu, MA Elaziz - Sensors, 2021 - mdpi.com
Developing cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …

[HTML][HTML] Efficient, lightweight cyber intrusion detection system for IoT ecosystems using mi2g algorithm

S Kaushik, A Bhardwaj, A Alomari, S Bharany… - Computers, 2022 - mdpi.com
The increase in internet connectivity has led to an increased usage of the Internet of Things
(IoT) and devices on the internet. These IoT devices are becoming the backbone of Industry …

[HTML][HTML] A novel deep supervised learning-based approach for intrusion detection in IoT systems

S Baniasadi, O Rostami, D Martín, M Kaveh - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …

Using deep learning technique to protect internet network from intrusion in IoT environment

AF Almutairi, AA Alshargabi - 2022 2nd International …, 2022 - ieeexplore.ieee.org
IoT is growing more common with each passing day, and it is making things smarter by
allowing them to share data via the internet. IoT is quickly making the world intelligent by …