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
HYBRID ENSEMBLE TECHNIQUE FOR SCREENING OF NETWORK ATTACKS
Authors Name:
Muskan Mittal
, Yogesh Kumar
Unique Id:
IJSDR2010051
Published In:
Volume 5 Issue 10, October-2020
Abstract:
Due to excessive use of internet the problem of intrusion is also increased. So, to detect the intrusion in the network traffic, various AI based intrusion detection techniques are used but there is no such technique is available which is used for detecting the network attacks or monitors system activities for malicious activities and produces reports to a management station that can detect various types of network attacks with high accuracy. So the idea of this research paper is to find promising AI based method which classify each type of network traffic class and combine them by proposing an effective combination technique i.e. ensemble technique which can detect all network attacks, so as to increase the overall accuracy and performance of the IDS.
Keywords:
TP rate, FP rate, Precision, F-measure, ROC area.
Cite Article:
"HYBRID ENSEMBLE TECHNIQUE FOR SCREENING OF NETWORK ATTACKS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 10, page no.341 - 350, October-2020, Available :http://www.ijsdr.org/papers/IJSDR2010051.pdf
Downloads:
000337348
Publication Details:
Published Paper ID: IJSDR2010051
Registration ID:192655
Published In: Volume 5 Issue 10, October-2020
DOI (Digital Object Identifier):
Page No: 341 - 350
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn