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)
The publication proposes a machine learning-based Network Security Monitoring System to combat network attacks like DoS and DDoS. Leveraging the NSL KDD Dataset, the system integrates Software Defined Networking (SDN) principles for dynamic control and flexibility. Machine learning algorithms including Support Vector Machine, K Nearest Neighbor, Decision Tree Classifier, and ADABoost Classifier are employed. Additional features such as prevention strategies for attacks and BOTNET detection are being developed to enhance security for both large companies and individual device owners. Keywords: Network Security, DDoS, Machine Learning, Cybersecurity.
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"Network Security Monitoring System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c30-c36, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404232.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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