CatBoost Classifier Improved by the Lyrebird Algorithm to Detect Denial of Service Attacks in Internet of Things-Based WSN
Dr.Badde.HariBabu
, Prof.Dr.Vikar Kumar , Badde.Srinivasa Rao
Wireless Sensor Networks (WSNs), intrusion Detection (ID), CatBoost Classifier (Cb-C), lyrebird Optimization Algorithm (LOA), WSN-DS dataset; Machine Learning (ML).
The security of Wireless Sensor Networks (WSNs) is of the highest importance because of their extensive use in many applications. Securing WSNs from damaging activity is a vital function of intrusion detection systems (IDSs). An advanced method to WSN intrusion detection (ID) using the CatBoost classifier (Cb-C) and the Lyrebird Optimization Algorithm is presented in this work (LOA). As is distinctive in ID settings, Cb-C shines at handling datasets that are unnecessary. The lyrebird’s amazing capacity to reproduce the sounds of its surroundings served as inspiration for the LOA, a metaheuristic optimization algorithm. The WSN-DS dataset, acquired from Prince Sultan University in Saudi Arabia, is used to assess the suggested method. Among the models presented, LOA-Cb-C produces the highest accuracy of 99.66%; nevertheless, when compared with the other methods discussed in this article, its error value of 0.34% is the lowest. Experimental results reveal that the suggested strategy improves WSN-IoT security over the existing methods in terms of detection accuracy and the false alarm rate.
"CatBoost Classifier Improved by the Lyrebird Algorithm to Detect Denial of Service Attacks in Internet of Things-Based WSN", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c510-c520, March-2025, Available :https://ijsdr.org/papers/IJSDR2503262.pdf
Volume 10
Issue 3,
March-2025
Pages : c510-c520
Paper Reg. ID: IJSDR_301326
Published Paper Id: IJSDR2503262
Downloads: 000129
Research Area: Science and Technology
Country: Kakinada, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
