Retracted article: mobile network intrusion detection for IoT system based on transfer learning algorithm

L Deng, D Li, X Yao, H Wang - Cluster Computing, 2019 - Springer
The open deployment environment and limited resources of the Internet of things (IoT) make
it vulnerable to malicious attacks, while the traditional intrusion detection system is difficult to …

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 …

A novel intrusion detection approach using machine learning ensemble for IoT environments

P Verma, A Dumka, R Singh, A Ashok, A Gehlot… - Applied Sciences, 2021 - mdpi.com
The Internet of Things (IoT) has gained significant importance due to its applicability in
diverse environments. Another reason for the influence of the IoT is its use of a flexible and …

Transfer-learning-based intrusion detection framework in IoT networks

E Rodríguez, P Valls, B Otero, JJ Costa, J Verdú… - Sensors, 2022 - mdpi.com
Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …

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 …

Deep learning approach for intrusion detection in IoT-multi cloud environment

D Selvapandian, R Santhosh - Automated Software Engineering, 2021 - Springer
The possibility of connecting billions of smart end devices in the Internet of Things (IoT)
provides wide range of services to the user. But, the unlimited connectivity of devices in IoT …

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 …

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

J Li, MS Othman, H Chen, LM Yusuf - Journal of Big Data, 2024 - Springer
Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …

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 …

A comprehensive analyses of intrusion detection system for IoT environment

JCS Sicato, SK Singh, S Rathore… - Journal of Information …, 2020 - koreascience.kr
Abstract Nowadays, the Internet of Things (IoT) network, is increasingly becoming a
ubiquitous connectivity between different advanced applications such as smart cities, smart …