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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Impact Factor : 8.76

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Paper Title: A machine learning based classification and prediction technique for DDOS attack
Authors Name: Dr.J.SARADA , M.Bhavya Sai , V. ANURADHA
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IJNRD_207211
Published Paper Id: IJNRD2310274
Published In: Volume 8 Issue 10, October-2023
DOI:
Abstract: In an era marked by the relentless growth of digital infrastructure and interconnected systems, safeguarding network security remains a paramount concern. Distributed Denial of Service (DDoS) attacks pose a formidable threat to the availability and functionality of online services and resources. This paper presents a novel machine learning-based approach for the classification and prediction of DDoS attacks, addressing the pressing need for proactive defense mechanisms. Our proposed technique leverages the power of machine learning algorithms to analyze network traffic patterns and identify anomalous behaviors associated with DDoS attacks. By training on diverse and labeled datasets, the model can distinguish between legitimate network traffic and malicious DDoS activity with high accuracy. Furthermore, it offers predictive capabilities to anticipate and mitigate potential attacks, enabling real-time threat response. Through a comprehensive evaluation on benchmark datasets and real-world network traffic, we demonstrate the efficacy of our approach in detecting and predicting DDoS attacks across a variety of scenarios. The results highlight the potential of machine learning as a valuable tool in enhancing network security and proactively defending against DDoS threats.
Keywords: DDoS attacks, Enhanced Detection, Machine Learning-Powered Defense
Cite Article: "A machine learning based classification and prediction technique for DDOS attack ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.c671-c684, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310274.pdf
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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
Publication Details: Published Paper ID:IJNRD2310274
Registration ID: 207211
Published In: Volume 8 Issue 10, October-2023
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Page No: c671-c684
Country: Chennai, TamilNadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2310274
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2310274
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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