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 based IDS for secured routing in wireless sensor networks using fuzzy genetic approach

S Subramani, M Selvi - 2022 - researchsquare.com
Abstract Wireless Sensor Networks (WSNs) are consisting of a number of sensing nodes
that are used to collect data from various environmental conditions and are used frequently …

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 …

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 …

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 …

Optimized deep learning‐based intrusion detection for wireless sensor networks

G Vembu, D Ramasamy - International Journal of …, 2023 - Wiley Online Library
The technological innovations and wide use of Wireless Sensor Network (WSN) applications
need to handle diverse data. These huge data possess network security issues as intrusions …

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 efficient deep learning-based solution for network intrusion detection in wireless sensor network

HS Sharma, A Sarkar, MM Singh - International Journal of System …, 2023 - Springer
This paper introduces a unique intrusion detection method that integrates developmental
and operational frameworks, focusing specifically on the wireless sensor network. With the …