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 …

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 …

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 …

[PDF][PDF] Intrusion detection techniques in wireless sensor network using data mining algorithms: comparative evaluation based on attacks detection

Y El Mourabit, A Bouirden… - International …, 2015 - pdfs.semanticscholar.org
Wireless sensor network (WSN) consists of sensor nodes. Deployed in the open area, and
characterized by constrained resources, WSN suffers from several attacks, intrusion and …

Wireless Sensor Network-based Intrusion Detection Technique using Deep Learning Approach of CNN-GRU

A Sagar, NK Anushkannan, G Indumathi… - 2023 8th …, 2023 - ieeexplore.ieee.org
In a WSN, sensors are always collecting information and transmitting it to other nodes. Their
primary uses are in fields like defense, smart city development, and agricultural monitoring …

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 …

[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 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 …

Feature selection model using naive bayes ML algorithm for WSN intrusion detection system

D Jeevaraj - International journal of electrical and computer …, 2023 - hrcak.srce.hr
Sažetak Intrusion detection models using machine-learning algorithms are used for Intrusion
prediction and prevention purposes. Wireless sensor network has a possibility of being …

[PDF][PDF] Data mining approach to analyzing intrusion detection of wireless sensor network

MA Rezvi, S Moontaha, KA Trisha… - Indonesian Journal of …, 2021 - academia.edu
Wireless sensor network (WSN) is a collection of wireless sensor nodes which are
distributed in nature and a base station where the dispersed nodes are used to monitor and …