Manuscript Number : IJSRSET162561
A Survey on Intrusion Detection Systems and Classification Techniques
Authors(2) :-Prof. Javed Akhtar Khan, Nitesh Jain
Today it is very important to provide a high level security to protect highly sensitive and private information. Intrusion Detection System is an essential technology in Network Security. Nowadays researchers have interested on intrusion detection system using Data mining techniques as an artful skill. IDS is a software or hardware device that deals with attacks by collecting information from a variety of system and network sources, then analyzing symptoms of security problems. This paper includes an overview of intrusion detection systems and introduces the reader to some fundamental concepts of IDS methodology. We also discuss the primary intrusion detection techniques. In this paper, we emphasizes data mining algorithms to implement IDS such as Support Vector Machine, Kernelized support vector machine, Extreme Learning Machine and Kernelized Extreme Learning Machine.
Prof. Javed Akhtar Khan
SVM, KELM, Intrusion Detection System, Data Mining and IDS, ELM, Classification Techniques for IDS, KSVM
Publication Details
Published in :
Volume 2 | Issue 5 | September-October 2016 Article Preview
Department of Computer Science & Engineering, Takshshila Institute of Engineering & Technology, Jabalpur, Madhya Pradesh, India
Nitesh Jain
M. Tech Scholar, Takshshila institute of engineering & technology, Jabalpur, Madhya Pradesh, India
Date of Publication :
2016-10-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
202-208
Manuscript Number :
IJSRSET162561
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET162561