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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
"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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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
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