e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Aug 2019 - Volume 10, Issue 4
Deadline: 15 Jul 2019
Notification: 15 Aug 2019
Publication: 31 Aug 2019

Oct 2019 - Volume 10, Issue 5
Deadline: 15 Sep 2019
Notification: 15 Oct 2019
Publication: 30 Oct 2019

Indexed in

IJCSE Indexed in Scopus

ABSTRACT

Title : AN EFFECTIVE INTRUSION DETECTION FRAMEWORK BASED ON SUPPORT VECTOR MACHINE USING NSL - KDD DATASET
Authors : Jamal Hussain, Aishwarya Mishra
Keywords : Intrusion Detection System (IDS), Linear and Nonlinear Support Vector Machines (SVMs),Performance Matrices
Issue Date : Dec 2017-Jan 2018
Abstract :
Intrusion Detection System (IDS) has become necessary for the security and privacy of a system and it takes a major role in network security because of its detection capacity to various types of attacks in the network domain. Recently, Support Vector Machines (SVM) has been applied to provide useful solutions for intrusion detection systems. With its many variants for classification, SVM is a state-of-theart machine learning algorithm and its performance depends on selection of the appropriate parameters. In this paper, we propose a model based on linear and nonlinear kernel SVMs using NSL-KDD dataset. The parameters for SVM are described in the tabular manner. Then by using the NSL-KDD dataset, our model gives the best result i.e., 100% for accuracy (Both Quadratic and Cubic SVMs).
Page(s) : 703-713
ISSN : 0976-5166
Source : Vol. 8, No.6