A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks

A Singh, J Amutha, J Nagar, S Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract Wireless Sensor Networks (WSNs) is a promising technology with enormous
applications in almost every walk of life. One of the crucial applications of WSNs is intrusion …

P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k− barriers for intrusion detection

A Singh, J Nagar, J Amutha, S Sharma - Engineering Applications of …, 2023 - Elsevier
Drastic advancement in computing technology and the dramatic increase in the usage of
explainable machine learning algorithms provide a promising platform for developing robust …

An energy efficient data fault prediction based clustering and routing protocol using hybrid ASSO with MERNN in wireless sensor network

G Mahalakshmi, S Ramalingam… - Telecommunication …, 2024 - Springer
Wireless sensor networks (WSNs) and Internet of Things (IoT) are essential for numerous
applications. WSN nodes often operate on limited battery capacity, so energy efficiency is a …

F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of k-barriers for intrusion detection

A Singh, SMH Mousavi, J Nagar - Applied Soft Computing, 2024 - Elsevier
Ensuring fast and efficient Intrusion Detection and Prevention (IDP) at international borders
is crucial for maintaining security and safeguarding nations. In this study, we propose an …

[HTML][HTML] A Multi-Agent Intrusion Detection System Optimized by a Deep Reinforcement Learning Approach with a Dataset Enlarged Using a Generative Model to …

M Mouyart, G Medeiros Machado, JY Jun - Journal of Sensor and …, 2023 - mdpi.com
Intrusion detection systems can defectively perform when they are adjusted with datasets
that are unbalanced in terms of attack data and non-attack data. Most datasets contain more …

An intelligent deep feature based intrusion detection system for network applications

K Shailaja, B Srinivasulu, L Thirupathi… - Wireless Personal …, 2023 - Springer
The network's digital applications and functions are vulnerable to get attacks from malicious
events. Hence, an Intrusion Detection System (IDS) is the required process for the network …

Secure Communication Using Multi-Layer Perceptron Neural Network and the Adaptive-Network-Based Fuzzy Inference System in Wireless Network

J Kamala, GMK Nawaz - SN Computer Science, 2023 - Springer
Abstract A Wireless Sensor Network (WSN) consists of many sensor nodes that collect data
from various environmental conditions using the Internet of Things (IoT) and are often used …

Deep Learning Perspectives to Detecting Intrusions in Wireless Sensor Networks

AB Abhale - International Journal of Intelligent Systems and …, 2023 - ijisae.org
Due to the increasing number of communication protocols being used to send and receive
data, security concerns have been raised about the unauthorized access of this data. To …

Enhancing intrusion detection using wireless sensor networks: A novel ahp-madm aggregated multiple type 3 fuzzy logic-based k-barriers prediction system

A Tarafdar, A Sheikh, P Majumder, A Baidya… - Peer-to-Peer Networking …, 2024 - Springer
In an evolving defense landscape with persistent security threats, enhancing Wireless
Sensor Networks (WSN) for border security and advancing Intrusion Detection Systems …

SVM‐SFL based malicious UAV detection in wireless sensor networks

SVRV Prasad, PM Khilar - Concurrency and Computation …, 2024 - Wiley Online Library
In the modern era, unmanned aerial vehicle (UAV) based wireless sensor networks (WSN)
are rising technologies in wireless communication. Through UAV, the sensed data can be …