Intrusion detection system in wireless sensor network using conditional generative adversarial network

T Sood, S Prakash, S Sharma, A Singh… - Wireless Personal …, 2022 - Springer
Wireless communication networks have much data to sense, process, and transmit. It tends
to develop a security mechanism to care for these needs for such modern-day systems. An …

Dynamic distributed generative adversarial network for intrusion detection system over internet of things

S Balaji, SS Narayanan - Wireless Networks, 2023 - Springer
Abstract The Internet of Things (IoT) intelligently facilitates individuals interacting with the
real-world applications which forms smart environment through internet connectivity at …

Hybrid optimized deep neural network with enhanced conditional random field based intrusion detection on wireless sensor network

S Karthic, SM Kumar - Neural Processing Letters, 2023 - Springer
Security plays an important part in this Internet world because of the hasty improvement of
Internet customers. Different Intrusion Detection Systems (IDS) have been advanced for …

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 …

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 …

An efficient intrusion detection method based on dynamic autoencoder

R Zhao, J Yin, Z Xue, G Gui, B Adebisi… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
The proliferation of wireless sensor networks (WSNs) and their applications has attracted
remarkable growth in unsolicited intrusions and security threats, which disrupt the normal …

A novel wireless network intrusion detection method based on adaptive synthetic sampling and an improved convolutional neural network

Z Hu, L Wang, L Qi, Y Li, W Yang - IEEE Access, 2020 - ieeexplore.ieee.org
The diversity of network attacks poses severe challenges to intrusion detection systems
(IDSs). Traditional attack recognition methods usually adopt mining data associations to …

[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 …

Wireless network intrusion detection based on improved convolutional neural network

H Yang, F Wang - Ieee Access, 2019 - ieeexplore.ieee.org
The diversification of wireless network traffic attack characteristics has led to the problems
what traditional intrusion detection technology with high false positive rate, low detection …

A highly accurate machine learning approach for developing wireless sensor network middleware

R Alshinina, K Elleithy - 2018 wireless telecommunications …, 2018 - ieeexplore.ieee.org
Despite the popularity of wireless sensor networks (WSNs) in a wide range of applications,
security problems associated with them have not been completely resolved. Middleware is …