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 …

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 …

[HTML][HTML] Towards an explainable universal feature set for IoT intrusion detection

MM Alani, A Miri - Sensors, 2022 - mdpi.com
As IoT devices' adoption grows rapidly, security plays an important role in our daily lives. As
part of the effort to counter these security threats in recent years, many IoT intrusion …

[HTML][HTML] 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 …

[PDF][PDF] A hybrid deep learning-based intrusion detection system for IoT networks

NW Khan, MS Alshehri, MA Khan, S Almakdi… - Math. Biosci …, 2023 - aimspress.com
The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential
applications, but the security of IoT networks remains a major concern. The existing system …

A novel sdn dataset for intrusion detection in iot networks

AK Sarica, P Angin - 2020 16th International Conference on …, 2020 - ieeexplore.ieee.org
The number of Internet of Things (IoT) devices and the use cases they aim to support have
increased sharply in the past decade with the rapid developments in wireless networking …

[HTML][HTML] 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 …

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 …

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 …

A two-stage intrusion detection approach for software-defined IoT networks

Q Tian, D Han, MY Hsieh, KC Li, A Castiglione - Soft Computing, 2021 - Springer
The concept of software-defined Internet of Things (SD-IoT) is becoming even more
widespread. SD-IoT enables us to realize programmable networks and business, simplifying …