Paper Title
Network Intrusion Detection Using Supervised Machine Learning
Article Identifiers
Authors
Marelly shivaram , k.sravanthi
Keywords
Intrusion detection
Abstract
Contrasted with the past, improvements in PC and correspondence innovations have given broad and propelled changes. The use of new innovations give incredible advantages to people, organizations, and governments, be that as it may, messes some up against them. For instance, the protection of significant data, security of put away information stages, accessibility of information and so forth. Contingent upon these issues, digital fear based oppression is one of the most significant issues in this day and age. Digital fear, which made a great deal of issues people and establishments, has arrived at a level that could undermine open and nation security by different gatherings, for example, criminal association, proficient people and digital activists. Along these lines, Intrusion Detection Systems (IDS) has been created to maintain a strategic distance from digital assaults. Right now, learning the bolster support vector machine (SVM) calculations were utilized to recognize port sweep endeavors dependent on the new CICIDS2017 dataset with 97.80%, 69.79% precision rates were accomplished individually. Rather than SVM we can introduce some other algorithms like random forest, Decision Trees, Logistic Regression where these algorithms can acquire accuracies more accuracy.
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How To Cite (APA)
Marelly shivaram & k.sravanthi (December-2023). Network Intrusion Detection Using Supervised Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(12), a24-a33. https://ijnrd.org/papers/IJNRD2312005.pdf
Issue
Volume 8 Issue 12, December-2023
Pages : a24-a33
Other Publication Details
Paper Reg. ID: IJNRD_209853
Published Paper Id: IJNRD2312005
Downloads: 000121993
Research Area: Engineering
Country: Warangal, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2312005.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312005
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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