Machine learning-based adaptive synthetic sampling technique for intrusion detection

M Zakariah, SA AlQahtani, MS Al-Rakhami - Applied Sciences, 2023 - mdpi.com
Traditional firewalls and data encryption techniques can no longer match the demands of
current IoT network security due to the rising amount and variety of network threats. In order …

Building an efficient intrusion detection system based on feature selection and ensemble classifier

Y Zhou, G Cheng, S Jiang, M Dai - Computer networks, 2020 - Elsevier
Intrusion detection system (IDS) is one of extensively used techniques in a network topology
to safeguard the integrity and availability of sensitive assets in the protected systems …

IoT Intrusion Detection System Based on Machine Learning

B Xu, L Sun, X Mao, R Ding, C Liu - Electronics, 2023 - mdpi.com
With the rapid development of the Internet of Things (IoT), the number of IoT devices is
increasing dramatically, making it increasingly important to identify intrusions on these …

EIDM: deep learning model for IoT intrusion detection systems

O Elnakib, E Shaaban, M Mahmoud… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) is a disruptive technology for the future decades. Due to its
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …

Novel framework for an intrusion detection system using multiple feature selection methods based on deep learning

AEM Eljialy, MY Uddin, S Ahmad - Tsinghua Science and …, 2024 - ieeexplore.ieee.org
Intrusion detection systems (IDSs) are deployed to detect anomalies in real time. They
classify a network's incoming traffic as benign or anomalous (attack). An efficient and robust …

A novel ensemble framework for an intelligent intrusion detection system

S Seth, KK Chahal, G Singh - IEEE Access, 2021 - ieeexplore.ieee.org
Background: Building an effective Intrusion detection system in a multi-attack classification
environment is challenging due to the diversity of modern, sophisticated attacks. High …

Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm

S Fraihat, S Makhadmeh, M Awad, MA Al-Betar… - Internet of Things, 2023 - Elsevier
With the rapid expansion of Internet of Things (IoT) networks, the need for robust security
measures to detect and report potential threats is becoming more urgent. In this paper, we …

Intrusion detection using network traffic profiling and machine learning for IoT

JR Rose, M Swann, G Bendiab… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

Ensemble learning approach for flow-based intrusion detection system

S Zwane, P Tarwireyi, M Adigun - 2019 IEEE AFRICON, 2019 - ieeexplore.ieee.org
Network security remains a critical issue due to ongoing advancements in Information and
Communication Technologies (ICT) and the concomitant rise in the number of security …

A two-tier hybrid ensemble learning pipeline for intrusion detection systems in IoT networks

D Srivastav, P Srivastava - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
With an increasing number of network devices, the need for a robust intrusion detection
system is also increasing for ensuring ubiquitous and secure Internet of Things (IoT) network …