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 …

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 …

A fuzzy logic-based method to avert intrusions in wireless sensor networks using WSN-DS dataset

N Singh, D Virmani, XZ Gao - International Journal of Computational …, 2020 - World Scientific
Intrusion is one of the biggest problems in wireless sensor networks. Because of the
evolution in wired and wireless mechanization, various archetypes are used for …

Fuzzy based advanced hybrid intrusion detection system to detect malicious nodes in wireless sensor networks

R Singh, J Singh, R Singh - Wireless Communications and …, 2017 - Wiley Online Library
In this paper, an Advanced Hybrid Intrusion Detection System (AHIDS) that automatically
detects the WSNs attacks is proposed. AHIDS makes use of cluster‐based architecture with …

An intrusion detection technique using frequency analysis for wireless sensor network

V Choudhary, S Taruna - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Intrusion detection and prevention is an important area in WSNs security. Securities for
resource constrain network needs innovative techniques which consume less memory and …

Intrusion Detection System for Wireless Sensor Networks: A Machine Learning based Approach

H Sadia, S Farhan, YU Haq, R Sana, T Mahmood… - IEEE …, 2024 - ieeexplore.ieee.org
In this era, plenty of wireless devices are being used with the support of WI-FI (Wireless
Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a …

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 …

[PDF][PDF] A Quasi-Newton Neural Network Based Efficient Intrusion Detection System for Wireless Sensor Network.

A Gautami, J Shanthini, S Karthik - Comput. Syst. Sci. Eng., 2023 - cdn.techscience.cn
In Wireless Sensor Networks (WSN), attacks mostly aim in limiting or eliminating the
capability of the network to do its normal function. Detecting this misbehaviour is a …

[PDF][PDF] A survey of intrusion detection schemes in wireless sensor networks

MA Rassam, MA Maarof, A Zainal - American Journal of Applied …, 2012 - researchgate.net
Wireless Sensor Networks (WSNs) are currently used in many application areas including
military applications, health related applications, control and tracking applications and …

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 …