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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 4 | Month- April 2026
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Published Paper Details:
Paper Title
DISTRIBUTED DENIAL OF SERVICE ATTACK DETECTION USING MACHINE LEARNING ALGORITHM
Authors
Pro. Girisha Bombale, Dhananjay Tangtode, Shayan Sayyad, Omkar Gelye, Sarthak Sawant
Keywords
DDOS Attack, Support Vector Machine algorithm, Random forest algorithm
Abstract
A Distributed Denial of Service (DDoS) attack is an endeavor to render a service inaccessible by inundating the server with malevolent traffic. DDoS attacks have emerged as one of the most formidable and burdensome challenges in recent times. Both the frequency and scale of these attacks have escalated from mere megabytes to hundreds of terabytes of data today. Detecting these attacks effectively has become increasingly challenging due to variations in attack patterns and the emergence of new attack types. In this study, we propose novel techniques for executing DDoS attacks and for their mitigation, demonstrating significant improvements over existing methods. Additionally, we classify DDoS attack techniques and the methodologies employed in their detection, providing a comprehensive overview of the DDoS issue. Furthermore, we conduct a comparative analysis of our attack module with several available tools.
IJCRT's Publication Details
Unique Identification Number - IJCRT2404867
Paper ID - 256464
Page Number(s) - h593-h596
Pubished in - Volume 12 | Issue 4 | April 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Pro. Girisha Bombale, Dhananjay Tangtode, Shayan Sayyad, Omkar Gelye, Sarthak Sawant, "DISTRIBUTED DENIAL OF SERVICE ATTACK DETECTION USING MACHINE LEARNING ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.h593-h596, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT2404867.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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