[PDF][PDF] Modified Metaheuristics with Weighted Majority Voting Ensemble Deep Learning Model for Intrusion Detection System.

M Ragab, SM Alshammari… - … Systems Science & …, 2023 - cdn.techscience.cn
The Internet of Things (IoT) system has confronted dramatic growth in high dimensionality
and data traffic. The system named intrusion detection systems (IDS) is broadly utilized for …

[HTML][HTML] Enhancing intrusion detection systems for IoT and cloud environments using a growth optimizer algorithm and conventional neural networks

A Fatani, A Dahou, M Abd Elaziz, MAA Al-Qaness, S Lu… - Sensors, 2023 - mdpi.com
Intrusion detection systems (IDS) play a crucial role in securing networks and identifying
malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic …

[HTML][HTML] IoT intrusion detection using machine learning with a novel high performing feature selection method

K Albulayhi, Q Abu Al-Haija, SA Alsuhibany… - Applied Sciences, 2022 - mdpi.com
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …

A new design of intrusion detection in IoT sector using optimal feature selection and high ranking-based ensemble learning model

B Gopalakrishnan, P Purusothaman - Peer-to-Peer Networking and …, 2022 - Springer
Abstract Internet of Things (IoT) is a significant area in the digital era for the purpose of data
collection and transferring them on the network without the help of a human, which shows …

[HTML][HTML] Enhancing intrusion detection in IoT systems: A hybrid metaheuristics-deep learning approach with ensemble of recurrent neural networks

P Sanju - Journal of Engineering Research, 2023 - Elsevier
Significant benefits have been brought to various industries by IoT (Internet of Things), but
new security challenges have also been introduced due to the sheer volume and complexity …

[PDF][PDF] Hybrid pigeon inspired optimizer-gray wolf optimization for network intrusion detection

S Gurumurthy, KL Hemalatha, D Pamela… - Journal of System and …, 2022 - aasmr.org
The physical objects like smart home appliances many more are present in the Internet of
Things (IoT). The network has an assigned Internet Address (IP) uniquely that communicates …

[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 …

Hybrid meta-heuristic based feature selection mechanism for cyber-attack detection in iot-enabled networks

AK Dey, GP Gupta, SP Sahu - Procedia Computer Science, 2023 - Elsevier
Today's technologically advanced connected world is mostly reliant on the Internet of Things
(IoT)-enabled smart gadgets and easy connectivity. These smart gadgets are more …

[PDF][PDF] Enhanced Metaheuristics with Machine Learning Enabled Cyberattack Detection Model.

AS Almasoud - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
The Internet of Things (IoT) is considered the next-gen connection network and is ubiquitous
since it is based on the Internet. Intrusion Detection System (IDS) determines the intrusion …

Towards optimized machine-learning-driven intrusion detection for Internet of Things applications

K Alemerien, S Al-suhemat, M Almahadin - International Journal of …, 2024 - Springer
As the utilization of Internet of Things devices becomes increasingly important in real-life
applications, the need to address potential threats to the infrastructure of these networks …