Security attack classification and performance analysis of machine learning algorithms over CSIC HTTP dataset

Vaya, Dipesh; Saxena, Rakesh Kumar

doi:10.47974/JDMSC-2155

Open Access Research Article

Security attack classification and performance analysis of machine learning algorithms over CSIC HTTP dataset

^*Dipesh VayaCorresponding authordipesh.vaya88@gmail.comDepartment of Computer Science & EngineeringPoornima UniversityJaipur, Rajasthan, 303905, IndiaView full profile → , Rakesh Kumar Saxenasaxenark06@gmail.comDepartment of Computer Science & EngineeringPoornima UniversityJaipur, Rajasthan, 303905, IndiaView full profile →

* Corresponding author · click or hover a name for details

pp. 1569–1578Vol. 28Issue 5-AAugust 2025DOI: 10.47974/JDMSC-2155 Crossmark XML

Received:: 06 Nov 2024
Published Online:: 30 Aug 2025
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-2155
Pages:: 1569–1578

Abstract

This research study analyzes the performance of machine learning-based algorithms in terms of efficiency in classifying security attacks in cloud computing systems. The proposed research consists of two phases: identifying and wrangling data as per the required format and performing analysis of different machine learning algorithms based on security attack detection and classification using the CSIC HTTP dataset. It contains a set of static and dynamic attacks created using connected objects. Security attacks are detected and analyzed on machine learning algorithms, like k-nearest Neighbor, random forest, and support vector machine. This research helps to find out the set of illegal requests that deteriorate the privacy of shared data. The performance of algorithms is explored through a confusion matrix. During analysis KNN has shown good balance between precision and recall, which is significant in the classification task over Random Forest and support Vector Machine models for different-sized test data.

Keywords

Security attack classification Detection Machine learning Performance analysis

Subject Classifications

Primary 68T07Secondary 68T05

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