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

被引：0

作者：

Mishra V.P. ^{[1
]}

Shukla B. ^{[2
]}

机构：

[1] Amity University Dubai, DIAC, Dubai

[2] Amity University, Sector-125, Uttar Pradesh, Noida

来源：

International Journal of Cloud Computing | 2022年 / 11卷 / 5-6期

关键词：

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

D O I：

10.1504/ijcc.2022.128690

中图分类号：

学科分类号：

摘要：

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. Copyright © 2022 Inderscience Enterprises Ltd.

引用

页码：440 / 448

页数：8

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