UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 10 | October 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2010361


Registration ID:
302616

Page Number

2781-2783

Share This Article


Jetir RMS

Title

Network Intrusion Detection - Comparison across classifiers

Authors

Abstract

With increasing use of networks, intrusions across the Internet have become a major threat in our world. This research study has been influenced by the different intrusion threats on internet and the ways to detect them. In this research we have studied and analyzed the famous network traffic data -NSL KDD dataset and its various features. The model aims to classify the network data into attack and non-attack and the attack class is further classified into DoS, Probe, R2L and U2R attack types. The work includes the classification of network traffic data by applying various classifier and analyze their accuracy. The model is being trained with different dataset sizes and have been evaluated on test data set. We have observed that the more we train the model, the more accurate classification results have been produced.

Key Words

IDS, TCP/IP, KNN, security.

Cite This Article

"Network Intrusion Detection - Comparison across classifiers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.2781-2783, October-2020, Available :http://www.jetir.org/papers/JETIR2010361.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Network Intrusion Detection - Comparison across classifiers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp2781-2783, October-2020, Available at : http://www.jetir.org/papers/JETIR2010361.pdf

Publication Details

Published Paper ID: JETIR2010361
Registration ID: 302616
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 2781-2783
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003077

Print This Page

Current Call For Paper

Jetir RMS