Paper Title

Network Intrusion Detection Using Supervised Machine Learning

Article Identifiers

Registration ID: IJNRD_209853

Published ID: IJNRD2312005

DOI: Click Here to Get

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.

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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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

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