Internet of Things intrusion detection systems: a comprehensive review and future directions

A Heidari, MA Jabraeil Jamali - Cluster Computing, 2023 - Springer
Abstract The Internet of Things (IoT) is a paradigm that connects objects to the Internet as a
whole and enables them to work together to achieve common objectives, such as innovative …

Comparative research on network intrusion detection methods based on machine learning

C Zhang, D Jia, L Wang, W Wang, F Liu, A Yang - Computers & Security, 2022 - Elsevier
Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …

Effective and efficient hybrid android malware classification using pseudo-label stacked auto-encoder

S Mahdavifar, D Alhadidi, AA Ghorbani - Journal of network and systems …, 2022 - Springer
Android has become the target of attackers because of its popularity. The detection of
Android mobile malware has become increasingly important due to its significant threat …

Host-based IDS: A review and open issues of an anomaly detection system in IoT

I Martins, JS Resende, PR Sousa, S Silva… - Future Generation …, 2022 - Elsevier
Abstract The Internet of Things (IoT) envisions a smart environment powered by connectivity
and heterogeneity where ensuring reliable services and communications across multiple …

Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework

M Al Razib, D Javeed, MT Khan, R Alkanhel… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …

A comprehensive systematic literature review on intrusion detection systems

M Ozkan-Okay, R Samet, Ö Aslan, D Gupta - IEEE Access, 2021 - ieeexplore.ieee.org
Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …

Security issues in Internet of Vehicles (IoV): A comprehensive survey

H Taslimasa, S Dadkhah, ECP Neto, P **ong, S Ray… - Internet of Things, 2023 - Elsevier
Nowadays, connected vehicles have a major role in enhancing the driving experience.
Connected vehicles in the network share their knowledge with the help of the network …

[HTML][HTML] IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks

A Zohourian, S Dadkhah, H Molyneaux, ECP Neto… - Computers & …, 2024 - Elsevier
Abstract The Internet of Things (IoT) devices have been integrated into almost all everyday
applications of human life such as healthcare, transportation and agriculture. This …

Towards model generalization for intrusion detection: Unsupervised machine learning techniques

M Verkerken, L D'hooge, T Wauters, B Volckaert… - Journal of Network and …, 2022 - Springer
Through the ongoing digitization of the world, the number of connected devices is
continuously growing without any foreseen decline in the near future. In particular, these …

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 …