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 fast propagation of computer networks has changed the viewpoint of network security. An easy access condition causes computer networks to be susceptible to several threats from hackers. Threats to networks are numerous and potentially devastating. Up until now, researchers have developed intrusion detection systems (IDS) capable of detecting attacks in several available environments. A boundless number of methods for misuse detection as well as anomaly detection have been applied.Many of the technologies proposed are complementary to each other since, for different kinds of environments, some approaches perform better than others. This project presents new intrusion detection systems that are then used to survey and classify them. The taxonomy consists of the detection principle and certain operational aspects of the intrusion detection system. In our project, we have used algorithms like Nave Bayes (NB) and Random Forest (RF). All are measured in terms of accuracy.
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"Semi-Supervised Machine Learning Approach For DDOS Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f391-f395, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304543.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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