IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Data Mining Approaches For Network Intrusion Detection System
Authors Name: T.S.Meenatchi , K. Mythili , M. Gayathri
Unique Id: IJSDR1609029
Published In: Volume 1 Issue 9, September-2016
Abstract: With the rapidly development of internet, Network Security has become the key issue of network based services and information sharing on networks. Intruders are monitoring computer network continuously for attacks. Intrusion happens simply when the security and privacy of a system is compromised. To protect this, a sophisticated firewall with efficient intrusion detection system (IDS) is required to prevent computer network from attacks. Intrusion Detection System (IDS) plays very important role in network security as it detects various types of attacks in network. An effective Intrusion detection system requires high accuracy rate (True positive) and low false alarm (False Positive and False Negative) rate. In this paper data mining techniques SMO (Support Vector Machine), IBk (k-Nearest Neighbour), Attribute Selected classifier(Meta) ,J48 (Tree) and KDD99 data set is used to evaluate these Data mining algorithms which is most efficient and high accuracy rated.
Keywords:
Cite Article: "Data Mining Approaches For Network Intrusion Detection System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 9, page no.195 - 200, September-2016, Available :http://www.ijsdr.org/papers/IJSDR1609029.pdf
Downloads: 000337212
Publication Details: Published Paper ID: IJSDR1609029
Registration ID:160783
Published In: Volume 1 Issue 9, September-2016
DOI (Digital Object Identifier):
Page No: 195 - 200
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner