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 …

[PDF][PDF] Modified gray wolf feature selection and machine learning classification for wireless sensor network intrusion detection

S Shakya - IRO Journal on Sustainable Wireless Systems, 2021 - scholar.archive.org
The ability of wireless sensor networks (WSN) and their functions are degraded or
eliminated by means of intrusion. To overcome this issue, this paper presents a combination …

Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks

M Safaldin, M Otair, L Abualigah - Journal of ambient intelligence and …, 2021 - Springer
Intrusion in wireless sensor networks (WSNs) aims to degrade or even eliminating the
capability of these networks to provide its functions. In this paper, an enhanced intrusion …

Multi-objective PSO based feature selection for intrusion detection in IoT based wireless sensor networks

S Subramani, M Selvi - Optik, 2023 - Elsevier
Abstract Internet of Things (IoT) utilization is increasing every day in both industry and other
applications recently. However, the IoT communication is under security threats from …

A novel ensemble method for advanced intrusion detection in wireless sensor networks

S Otoum, B Kantarci, HT Mouftah - Icc 2020-2020 ieee …, 2020 - ieeexplore.ieee.org
With the increase of cyber attack risks on critical infrastructures monitored by networked
systems, robust Intrusion Detection Systems (IDSs) for protecting the information have …

Toward design of an intelligent cyber attack detection system using hybrid feature reduced approach for iot networks

P Kumar, GP Gupta, R Tripathi - Arabian Journal for Science and …, 2021 - Springer
With simple connectivity and fast-growing demand of smart devices and networks, IoT has
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …

A novel clustering approach and adaptive SVM classifier for intrusion detection in WSN: A data mining concept

GM Borkar, LH Patil, D Dalgade, A Hutke - … Computing: Informatics and …, 2019 - Elsevier
Abstract Nowadays Wireless Sensor Network (WSN) mainly faces security issue during
packet transmission between different sensor nodes in network combined with data mining …

[HTML][HTML] Filter-based ensemble feature selection and deep learning model for intrusion detection in cloud computing

C Kavitha, TR Gadekallu, NK, BP Kavin, WC Lai - Electronics, 2023 - mdpi.com
In recent years, the high improvement in communication, Internet of Things (IoT) and cloud
computing have begun complex questioning in security. Based on the development …

[HTML][HTML] Binary chimp optimization algorithm with ML based intrusion detection for secure IoT-assisted wireless sensor networks

M Aljebreen, MA Alohali, MK Saeed, H Mohsen… - Sensors, 2023 - mdpi.com
An Internet of Things (IoT)-assisted Wireless Sensor Network (WSNs) is a system where
WSN nodes and IoT devices together work to share, collect, and process data. This …

Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks.

CD McDermott, A Petrovski - … journal of computer …, 2017 - rgu-repository.worktribe.com
Wireless Sensor Networks (WSNs) have become a key technology for the IoT and despite
obvious benefits, challenges still exist regarding security. As more devices are connected to …