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 …

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 …

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 …

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 …

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 novel intrusion detection method based on lightweight neural network for internet of things

R Zhao, G Gui, Z Xue, J Yin, T Ohtsuki… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The purpose of a network intrusion detection (NID) is to detect intrusions in the network,
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …

A heuristic intrusion detection system for Internet-of-Things (IoT)

AH Qureshi, H Larijani, J Ahmad, N Mtetwa - … Computing: Proceedings of …, 2019 - Springer
Today, digitally connected devices are involved in every aspect of life due to the
advancements in Internet-of-Things (IoT) paradigm. Recently, it has been a driving force for …