Evaluation of naïve bayesian algorithms for cyber-attacks detection in wireless sensor networks

S Ismail, H Reza - 2022 IEEE world AI IoT congress (AIIoT), 2022 - ieeexplore.ieee.org
Wireless Sensor Network (WSN) is one of the Internet of Things (IoT) operating platforms,
which has proliferated into a wide range of applications. These networks comprise many …

A comparative study of machine learning models for cyber-attacks detection in wireless sensor networks

S Ismail, TT Khoei, R Marsh… - 2021 IEEE 12th Annual …, 2021 - ieeexplore.ieee.org
Wireless Sensor Network is a key technology for Internet of Things, but it is an example of
energy-restricted networks. In such networks with a large number of deployed sensors with …

[HTML][HTML] An ensemble-based machine learning approach for cyber-attacks detection in wireless sensor networks

S Ismail, Z El Mrabet, H Reza - Applied Sciences, 2022 - mdpi.com
Wireless Sensor Networks (WSNs) are the key underlying technology of the Internet of
Things (IoT); however, these networks are energy constrained. Security has become a major …

Feature‐Weighted Naive Bayesian Classifier for Wireless Network Intrusion Detection

H Wu - Security and Communication Networks, 2024 - Wiley Online Library
Objective. Wireless sensor networks, crucial for various applications, face growing security
challenges due to the escalating complexity and diversity of attack behaviours. This paper …

A lightweight multilayer machine learning detection system for cyber-attacks in WSN

S Ismail, D Dawoud, H Reza - 2022 IEEE 12th annual …, 2022 - ieeexplore.ieee.org
A key technology that empowers low-cost and low-power Internet of Things (IoT) systems
implementation is the Wireless Sensor Network (WSN); however, WSNs are susceptible to …

Malicious attack detection based on continuous Hidden Markov Models in Wireless sensor networks

ARA Moundounga, H Satori, Y Boutazart… - Microprocessors and …, 2023 - Elsevier
Alongside the rapid progress of Wireless sensor networks (WSNs) technologies, sensors
and networks can rapidly be a victim of distributed attacks. Attackers can perform intrusions …

Stochastic machine learning based attacks detection system in wireless sensor networks

ARA Moundounga, H Satori - Journal of Network and Systems …, 2024 - Springer
Abstract Wireless Sensor Networks (WSNs) play a crucial role in diverse applications,
encompassing environmental monitoring, healthcare, and industrial automation. However …

[HTML][HTML] AutoML-ID: Automated machine learning model for intrusion detection using wireless sensor network

A Singh, J Amutha, J Nagar, S Sharma, CC Lee - Scientific reports, 2022 - nature.com
Momentous increase in the popularity of explainable machine learning models coupled with
the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient …

Intrusion detection in wireless sensor networks by an ensemble of artificial neural networks

T Batiha, M Prauzek, P Krömer - … 2019: Proceedings of the 11th KES …, 2020 - Springer
Wireless sensor and actuator networks are essential components of modern technologies
and infrastructures for smart homes and cities, intelligent transportation systems, advanced …

[HTML][HTML] Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods

MH Behiry, M Aly - Journal of Big Data, 2024 - Springer
This paper proposes an intelligent hybrid model that leverages machine learning and
artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by …