ENHANCING INTRUSION DETECTION SYSTEM PERFORMANCE LEVERAGING MACHINE LEARNING MODEL AND FEATURE SELECTION

ENHANCING INTRUSION DETECTION SYSTEM PERFORMANCE LEVERAGING MACHINE LEARNING MODEL AND FEATURE SELECTION

Registration ID: IJNRD_214775

Published ID: IJNRD2403059

DOI: Click Here to Get

A.Priya , Dr.R.Kannan

LDA,NSL-KDD,CFSETM,BTRESS,CHISQUARE.

ABSTRACT Intrusion detection system (IDS) plays a vital role in mitigating cyber-attacks and exploitations. The internet and communication technology growth have witnessed the attacks and threats are evolving continuously. Intrusion detection systems are designed to capture cyber-attacks efficiently and various types of IDS are studied extensively to capture different forms of exploitation. The performance of any IDS depends on detection and prevention mechanism involved. Though many machine learning techniques are employed, there is still a need to enhance the performance of IDS with respect to rise of newer vulnerabilities in the network. This paper focus on enhancing IDS performance through building machine learning models that leverage feature selection to capture intrusions and anomalies. The proposed model utilizes feature selection to remove redundant and irrelevant features which helps machine learning models to gain better learning. The performance of the proposed model is evaluated on two datasets, namely NSL-KDD and HIKARI-2021 and compared against machine learning models such as LDA, Logistic Regression, NN and SVM.

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"ENHANCING INTRUSION DETECTION SYSTEM PERFORMANCE LEVERAGING MACHINE LEARNING MODEL AND FEATURE SELECTION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.a541-a557, March-2024, Available :https://ijnrd.org/papers/IJNRD2403059.pdf

Volume 9 Issue 3, March-2024

Pages : a541-a557

Paper Reg. ID: IJNRD_214775

Published Paper Id: IJNRD2403059

Downloads: 000121136

Research Area: Computer Science & Technology 

Country: Coimbatore, TamilNadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403059.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403059

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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