Data Fusion-based machine learning architecture for intrusion detection

TM Ghazal - Computers, Materials & Continua, 2022 - research.skylineuniversity.ac.ae
In recent years, the infrastructure of Wireless Internet of Sensor Networks (WIoSNs) has
been more complicated owing to developments in the internet and devices' connectivity. To …

A novel data fusion strategy based on extreme learning machine optimized by bat algorithm for mobile heterogeneous wireless sensor networks

L Cao, Y Cai, Y Yue, S Cai, B Hang - IEEE access, 2020 - ieeexplore.ieee.org
In order to effectively reduce the redundant information transmission in the network, a data
fusion algorithm based on extreme learning machine optimized by bat algorithm for mobile …

A real-time sequential deep extreme learning machine cybersecurity intrusion detection system

A Haider, M Adnan Khan, A Rehman… - Computers …, 2021 - publications.polymtl.ca
In recent years, cybersecurity has attracted significant interest due to the rapid growth of the
Internet of Things (IoT) and the widespread development of computer infrastructure and …

An intrusion detection system for wireless sensor networks using deep neural network

V Gowdhaman, R Dhanapal - Soft Computing, 2022 - Springer
Wireless sensor network comprises of a large number of sensor nodes to acquire and
transmit data to the central location. However, due to resource constrained nodes …

Wireless sensor network intrusion detection system based on MK-ELM

W Zhang, D Han, KC Li, FI Massetto - Soft Computing, 2020 - Springer
Advances in digital electronics, wireless communications, and electro-mechanical systems
technology have revolutionized the society and economy across the globe by enabling the …

Efficient data aggregation with node clustering and extreme learning machine for WSN

I Ullah, HY Youn - The Journal of Supercomputing, 2020 - Springer
Wireless sensor network is effective for data aggregation and transmission in IoT
environment. Here, the sensor data often contain a significant amount of noises or …

Intrusion detection in big data using hybrid feature fusion and optimization enabled deep learning based on spark architecture

MP Ramkumar, PVB Reddy, JT Thirukrishna… - Computers & …, 2022 - Elsevier
With the rapid expansion of Internet services and increasing intrusion issues, conventional
intrusion detection techniques cannot work well with several difficult intrusions. Though …

[HTML][HTML] Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine

H Lin, Q Xue, J Feng, D Bai - Digital Communications and Networks, 2023 - Elsevier
With the rapid development of the Internet of Things (IoT), there are several challenges
pertaining to security in IoT applications. Compared with the characteristics of the traditional …

An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique

S Shamshirband, NB Anuar, MLM Kiah… - Engineering Applications of …, 2013 - Elsevier
The deployment of wireless sensor networks and mobile ad-hoc networks in applications
such as emergency services, warfare and health monitoring poses the threat of various …

A hybrid spectral clustering and deep neural network ensemble algorithm for intrusion detection in sensor networks

T Ma, F Wang, J Cheng, Y Yu, X Chen - Sensors, 2016 - mdpi.com
The development of intrusion detection systems (IDS) that are adapted to allow routers and
network defence systems to detect malicious network traffic disguised as network protocols …