Examining the suitability of NetFlow features in detecting IoT network intrusions

M Awad, S Fraihat, K Salameh, A Al Redhaei - Sensors, 2022 - mdpi.com
The past few years have witnessed a substantial increase in cyberattacks on Internet of
Things (IoT) devices and their networks. Such attacks pose a significant threat to …

Attack-Aware IoT network traffic routing leveraging ensemble learning

Q Abu Al-Haija, A Al-Badawi - Sensors, 2021 - mdpi.com
Network Intrusion Detection Systems (NIDSs) are indispensable defensive tools against
various cyberattacks. Lightweight, multipurpose, and anomaly-based detection NIDSs …

[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT

M Vishwakarma, N Kesswani - Decision Analytics Journal, 2022 - Elsevier
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …

Feature analysis for machine learning-based IoT intrusion detection

M Sarhan, S Layeghy, M Portmann - arXiv preprint arXiv:2108.12732, 2021 - arxiv.org
Internet of Things (IoT) networks have become an increasingly attractive target of
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted to …

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 …

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 …

IoT Network Attack Severity Classification

B Madhu, SK Nayak, V Aerranagula… - E3S Web of …, 2023 - e3s-conferences.org
Lack of network security is a major roadblock for Internet of Things (IoT) implementations.
New attacks have emerged in recent times, taking advantage of vulnerabilities in IoT …

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 …

A machine learning based framework for IoT device identification and abnormal traffic detection

O Salman, IH Elhajj, A Chehab… - Transactions on …, 2022 - Wiley Online Library
Network security is a key challenge for the deployment of Internet of Things (IoT). New
attacks have been developed to exploit the vulnerabilities of IoT devices. Moreover, IoT …

Machine and deep learning approaches for IoT attack classification

A Nascita, F Cerasuolo, D Di Monda… - … -IEEE Conference on …, 2022 - ieeexplore.ieee.org
In recent years, Internet of Things (IoT) traffic has increased dramatically and is expected to
grow further in the next future. Because of their vulnerabilities, IoT devices are often the …