Detection Of DDoS Attacks Produced By Various Freely Accessible Toolkits Using Machine Learning

Detection Of DDoS Attacks Produced By Various Freely Accessible Toolkits Using Machine Learning

Registration ID: IJNRD_217644

Published ID: IJNRD2404137

DOI: Click Here to Get

P.ChennaKeshava Yadav , P.Sai Tharun Reddy , P.Sunil Kumar Reddy , R.Naveen , K.Bala

Distributed Denial of Service (DDoS) attacks are a growing threat to online services, and various methods have been developed to detect them. However, past research has mainly focused on identifying attack patterns and types, without specifically addressing the role of freely available DDoS attack tools in the escalation of these attacks. This study aims to fill this gap by investigating the impact of the easy availability of DDoS attack tools on the frequency and severity of attacks. In this paper, a machine learning solution to detect DDoS attacks is proposed, which employsa feature selection technique to enhance its speed and efficiency, resulting in a substantial reduction in the feature subset. The provided evaluation metrics demonstrate that the model has a high accuracy level of 99.9%, a precision score of 96%, a recall score of 98%, and an F1 score of 97%. Moreover, the examination found that by utilizing a deliberate approach for feature selection, our model’s efficacy was massively raised.

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"Detection Of DDoS Attacks Produced By Various Freely Accessible Toolkits Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b280-b292, April-2024, Available :https://ijnrd.org/papers/IJNRD2404137.pdf

Volume 9 Issue 4, April-2024

Pages : b280-b292

Paper Reg. ID: IJNRD_217644

Published Paper Id: IJNRD2404137

Downloads: 000121187

Research Area: Engineering

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404137.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404137

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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