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 …

Deep learning and machine learning techniques for intrusion detection and prevention in wireless sensor networks: comparative study and performance analysis

PR Chandre, PN Mahalle, GR Shinde - Design frameworks for wireless …, 2020 - Springer
Nowadays, there is remarkable growth in technology and wireless sensor networks. These
are primarily used for the purpose of communication. Communication between devices may …

Intrusion detection in wireless sensor network using enhanced empirical based component analysis

L Zhiqiang, G Mohiuddin, Z Jiangbin, M Asim… - Future Generation …, 2022 - Elsevier
Nowadays, several kinds of attacks exist in cyberspace, and hence comprehensive research
has been implemented to overcome these drawbacks. One such method to provide security …

An intrusion detection model using improved convolutional deep belief networks for wireless sensor networks

W Wen, C Shang, Z Dong, HC Keh… - International Journal of …, 2021 - inderscienceonline.com
Intrusion detection is a critical issue in the wireless sensor networks (WSNs), specifically for
security applications. In literature, many classification algorithms have been applied to …

A deep learning approach for effective intrusion detection in wireless networks using CNN

B Riyaz, S Ganapathy - Soft Computing, 2020 - Springer
Security is playing a major role in this Internet world due to the rapid growth of Internet users.
The various intrusion detection systems were developed by many researchers in the past to …

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 …

[PDF][PDF] Intrusion prevention system using convolutional neural network for wireless sensor network

PR Chandre, P Mahalle, G Shinde - IAES International Journal of Artificial …, 2022 - viit.ac.in
Now-a-days, there is exponential growth in the field of wireless sensor network. In wireless
sensor networks (WSN's), most of communication happen through wireless media hence …

[PDF][PDF] A multi-layer machine learning-based intrusion detection system for wireless sensor networks

NM Alruhaily, DM Ibrahim - International Journal of Advanced …, 2021 - academia.edu
With the increase relay on the internet, and the shift of most business to provide remote
services, the burdens of protecting the network and detecting any attack quickly become …

Intelligent IDS in wireless sensor networks using deep fuzzy convolutional neural network

S Subramani, M Selvi - Neural Computing and Applications, 2023 - Springer
The intrusion detection systems (IDSs) developed based on classification algorithms for
securing wireless sensor networks (WSNs) are unable to attain the required detection …

Intrusion detection technique in wireless sensor network using grid search random forest with Boruta feature selection algorithm

S Subbiah, KSM Anbananthen… - Journal of …, 2022 - ieeexplore.ieee.org
Attacks in wireless sensor networks (WSNs) aim to prevent or eradicate the network's ability
to perform its anticipated functions. Intrusion detection is a defense used in wireless sensor …