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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21504
Article Published : 8513
Total Authors : 22399
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| Paper Title: | INVESTIGATION OF PERFORMANCE OF MACHINE LEARNING ALGORITHMS OVER CYBER SECURITY DATASETS |
| Authors Name: | Sahil Sharma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205941
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| Published Paper Id: | IJRTI2508133 |
| Published In: | Volume 10 Issue 8, August-2025 |
| DOI: | |
| Abstract: | It is an undeniable fact that currently information is a pretty significant presence for all companies or organizations. Therefore protecting its security is crucial and the security models driven by real datasets has become quite important. The operations based on military, government, commercial and civilians are linked to the security and availability of computer systems and network. From this point of security, the network security is a significant issue because the capacity of attacks is unceasingly rising over the years and they turn into be more sophisticated and distributed. The objective of this review is to explain and compare the most commonly used datasets. This paper focuses on the datasets used in artificial intelligent and machine learning techniques, which are the primary tools for analyzing network traffic and detecting abnormalities. Keywords—ML algorithms over Cyber Security, Random Forest (RF), SVM, Logistic Regression(LR), Decision Tree (DT), Naive Bayes Algorithm, Boosting. |
| Keywords: | Cybersecurity Datasets |
| Cite Article: | "INVESTIGATION OF PERFORMANCE OF MACHINE LEARNING ALGORITHMS OVER CYBER SECURITY DATASETS", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.b255-b261, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508133.pdf |
| Downloads: | 000627 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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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Published Paper ID: IJRTI2508133
Registration ID:205941
Published In: Volume 10 Issue 8, August-2025
DOI (Digital Object Identifier):
Page No: b255-b261 Country: mumbai, maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2508133 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2508133 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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