Title: Performance evaluation of intrusion detection system using new support vector machine model

Authors: Ved Prakash Mishra; Balvinder Shukla

Addresses: Amity University Dubai, DIAC, Dubai, UAE ' Amity University, Sector-125, Noida, Uttar Pradesh, India

Abstract: Intrusion detection and prevention in real time is becoming a challenge in this current moving digital world. Data and log details are growing in every minute. In this manuscript, a support vector machine (SVM) model is proposed and implemented, which is efficient, quick and has the capacity to handle large datasets. The basic idea of the proposed model is derived from the finite Newton method for classification problems. The experimental and comparative studies of proposed SVM are done with existing classification algorithms and related studies to assess the efficiency of the proposed SVM classification algorithm.

Keywords: intrusion detection system; support vector machine; SVM; kernel; security; confidentiality; IDPS; secure network; UUI.

DOI: 10.1504/IJCC.2022.128690

International Journal of Cloud Computing, 2022 Vol.11 No.5/6, pp.440 - 448

Received: 03 Jan 2020
Accepted: 28 Mar 2020
Published online: 02 Feb 2023 *

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