Paper Title

A Deep Learning-Based Smart Scalable, And Adaptive DDOS Defence System

Authors

Mr. Mohnish Saxena , Prof. Sudhir Goswami

Keywords

DDoS attacks, Machine Learning (ML),Random Forest (RF),DDoS prevention, Intrusion detection

Abstract

(DDoS) attacks a significant risk to CAI traits of online services. To address these threats, organizations can use machine learning (ML) and deep learning (DL) approaches. By implementing these sophisticated technique, they can effectively identify, categorize, and forecast DDoS attacks, enabling initiative-taking measures to be taken before an attack occurs. Investigating (RF)s for DDoS Protection (RF)s have become a particularly useful tool for analysis and thwarting DDoS assaults among the variety of ML methods. This study explores the use of (RF)s for DDoS defense, outlining both their advantages and disad-vantages. (RF)s were effectively used to identify and stop a DDoS assault, as demonstrated in a real-world case study. The analysis suggests that (RF)s are advantageous over their resilience to noise and outliers, with their demon-strated effectiveness in myriad studies. Nevertheless, further research is essential to innovate and enhance (RF)-based methods for more effective DDoS prevention.

How To Cite

"A Deep Learning-Based Smart Scalable, And Adaptive DDOS Defence System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a312-a323, December-2024, Available :https://ijsdr.org/papers/IJSDR2412038.pdf

Issue

Volume 9 Issue 12, December-2024

Pages : a312-a323

Other Publication Details

Paper Reg. ID: IJSDR_212799

Published Paper Id: IJSDR2412038

Downloads: 000347192

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2412038

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2412038

About Publisher

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

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