Development and Validation of a Cyber-Physical System Leveraging EFDPN for Enhanced WSN-IoT Network Security

S Krishnasamy, MB Alotaibi, LI Alehaideb, Q Abbas - Sensors, 2023 - mdpi.com
In the current digital era, Wireless Sensor Networks (WSNs) and the Internet of Things (IoT)
are evolving, transforming human experiences by creating an interconnected environment …

Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detection

M Karthikeyan, D Manimegalai, K RajaGopal - Scientific Reports, 2024 - nature.com
Abstract A Wireless Sensor Network (WSN) aided by the Internet of Things (IoT) is a
collaborative system of WSN systems and IoT networks are work to exchange, gather, and …

A machine learning solution for securing the internet of things infrastructures

A Abdel-Monem… - Sustainable Machine …, 2022 - sciencesforce.com
Securing Internet of Things (IoT) infrastructures against ever-evolving cyber threats remains
a critical challenge in the era of interconnected devices. In this paper, we present a novel …

Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models

A Almotairi, S Atawneh, OA Khashan… - Systems Science & …, 2024 - Taylor & Francis
Internet of Things (IoT) technology has evolved significantly, transitioning from personal
devices to powering smart cities and global deployments across diverse industries …

Explainable security in SDN-based IoT networks

AK Sarica, P Angin - Sensors, 2020 - mdpi.com
The significant advances in wireless networks in the past decade have made a variety of
Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily …

A machine learning security framework for iot systems

M Bagaa, T Taleb, JB Bernabe, A Skarmeta - IEEE Access, 2020 - ieeexplore.ieee.org
Internet of Things security is attracting a growing attention from both academic and industry
communities. Indeed, IoT devices are prone to various security attacks varying from Denial …

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 …

Deep learning feature fusion approach for an intrusion detection system in SDN-based IoT networks

V Ravi, R Chaganti, M Alazab - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
A survey of the literature shows that the number of IoT attacks are gradually growing over the
years due to the growing trend of Internet-enabled devices. Software defined networking …

Deep learning approach for SDN-enabled intrusion detection system in IoT networks

R Chaganti, W Suliman, V Ravi, A Dua - Information, 2023 - mdpi.com
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the
number of IoT-based attacks has been growing yearly. The existing solutions may not …

[HTML][HTML] Feature extraction for machine learning-based intrusion detection in IoT networks

M Sarhan, S Layeghy, N Moustafa, M Gallagher… - Digital Communications …, 2022 - Elsevier
A large number of network security breaches in IoT networks have demonstrated the
unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network …