Sequential model based intrusion detection system for IoT servers using deep learning methods

M Zhong, Y Zhou, G Chen - Sensors, 2021 - mdpi.com
IoT plays an important role in daily life; commands and data transfer rapidly between the
servers and objects to provide services. However, cyber threats have become a critical …

A comparative analysis of machine learning techniques for IoT intrusion detection

J Vitorino, R Andrade, I Praça, O Sousa… - … on Foundations and …, 2021 - Springer
The digital transformation faces tremendous security challenges. In particular, the growing
number of cyber-attacks targeting Internet of Things (IoT) systems restates the need for a …

Intrusion detection for IoT based on improved genetic algorithm and deep belief network

Y Zhang, P Li, X Wang - IEEE Access, 2019 - ieeexplore.ieee.org
With the advent of the Internet of Things (IoT), the security of the network layer in the IoT is
getting more and more attention. The traditional intrusion detection technologies cannot be …

Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach

B Sharma, L Sharma, C Lal, S Roy - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Things (IoT) is currently seeing tremendous growth due to new
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …

An intrusion detection and classification system for IoT traffic with improved data engineering

AA Alsulami, Q Abu Al-Haija, A Tayeb, A Alqahtani - Applied Sciences, 2022 - mdpi.com
Nowadays, the Internet of Things (IoT) devices and applications have rapidly expanded
worldwide due to their benefits in improving the business environment, industrial …

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 …

[HTML][HTML] Intrusion detection models for IOT networks via deep learning approaches

B Madhu, MVG Chari, R Vankdothu, AK Silivery… - Measurement …, 2023 - Elsevier
Abstract The Internet of things (IoT) has gained more attention in recent years because of its
ubiquitous operations, connectivity, methods of communication, and intelligent decisions to …

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 …

Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review

MA Alsoufi, S Razak, MM Siraj, I Nafea, FA Ghaleb… - Applied sciences, 2021 - mdpi.com
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …

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 …