An efficient network intrusion detection model for IoT security using K-NN classifier and feature selection

M Mohy-Eddine, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2023 - Springer
Abstract The Internet of Things (IoT) interconnects billions of sensors and actuators to serve
a meaningful purpose. However, it is always vulnerable to various menaces. Thus, IoT …

[PDF][PDF] An Efficient Intrusion Detection Approach Using Ensemble Deep Learning models for IoT.

H Mohamed, A Hamza, H Hefny - International Journal of Intelligent …, 2023 - inass.org
The internet of things (IoT) has gained great importance due to its applicability in various
daily life applications and its flexible and scalable framework. The wide and spreading use …

[PDF][PDF] Efficient intrusion detection system for IoT environment

RH Mohamed, FA Mosa, RA Sadek - International Journal of …, 2022 - researchgate.net
These days, the Internet is subjected to a variety of attacks that can harm network devices or
allow attackers to steal the most sensitive data from these devices. IoT environment provides …

A New High-Performance Feature Selection Method for Machine Learning-Based IOT Intrusion Detection

B Natarajan, S Bose, N Maheswaran… - 2023 12th …, 2023 - ieeexplore.ieee.org
In recent years, there is a significant growth experienced in both data traffic as well as
dimensionality in Internet of Things (IoT) environment. In parallel, IoT networks are often …

Intrusion detection system for IoT based on deep learning and modified reptile search algorithm

A Dahou, M Abd Elaziz, SA Chelloug… - Computational …, 2022 - Wiley Online Library
This study proposes a novel framework to improve intrusion detection system (IDS)
performance based on the data collected from the Internet of things (IoT) environments. The …

Intrusion detection system using feature extraction with machine learning algorithms in IoT

D Musleh, M Alotaibi, F Alhaidari, A Rahman… - Journal of Sensor and …, 2023 - mdpi.com
With the continuous increase in Internet of Things (IoT) device usage, more interest has
been shown in internet security, specifically focusing on protecting these vulnerable devices …

Intrusion detection model for IoT using recurrent kernel convolutional neural network

CU Om Kumar, S Marappan, B Murugeshan… - Wireless Personal …, 2023 - Springer
In communication and information technology, the Internet of Things (IoT) creates an
enormous amount of data traffic that permits data analysis to expose and detect unusual …

Logistic Regression Ensemble Classifier for Intrusion Detection System in Internet of Things

S Chalichalamala, N Govindan, R Kasarapu - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) is a powerful technology that connect its users worldwide with
everyday objects without any human interference. On the contrary, the utilization of IoT …

Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms

H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …

[Retracted] Cyber Security against Intrusion Detection Using Ensemble‐Based Approaches

MN Alatawi, N Alsubaie, H Ullah Khan… - Security and …, 2023 - Wiley Online Library
The attacks of cyber are rapidly increasing due to advanced techniques applied by hackers.
Furthermore, cyber security is demanding day by day, as cybercriminals are performing …