International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,November 2018,

Topic : A Cloud-Based Intrusion Detection System Using BPN Classifier

Authors:Priyanka Alekar ||

Abstract:The intrusion detection systems are developed in order to monitor the network activity and tack the malicious interruption in network. In this context the generated traffic data is need to be analyzed. In most of the IDS design for traffic data analysis machine learning and data mining algorithms are utilized. These algorithms are able to deal with the data for discovering the valuable or target patterns from data. But in network the data is generated and communicated in a small amount of time and the algorithms consumes a significant amount of time. In this context different feature selection approaches are implemented with the IDS systems which reduce the dimensions of the data. With the fewer amounts of data attributes learning algorithms are trained well but detection performance can be affected. On the other hand for efficient computing and dealing with large amount of data the cloud computing is used. The cloud computing provides scalable resources and efficient computing methodology for process the data is fewer amount of time. Therefore in this presented work both the computing techniques namely cloud computing and data mining both are used for improving the performance and working of traditional IDS systems. The proposed data model works in client server architecture where the server performs the computations and produces the decision by analysis of client submitted traffic samples. For training and testing of data model the SVM (support vector machine) and BPN (back propagation neural network) is used. Additionally for experimentation the KDD CUP data is consumed. The experimental results show the proposed technique reduces the overhead of client end computing efforts and enhance the decision capability of IDS systems..

Keywords: IDS (Intrusion Detection System), data mining, cloud computing, BPN (Back Propagation Neural Network), SVM (Support Vector Machine).

Download Paper


DOI: 01.1617/vol5/iss11/pid75490


Related Articles

Wormhole Attack Prevention and Detection Approaches in Mobile Ad hoc Networks: A Survey.

Authors: Avinash Singh || Ram Singar Verma

Doi : 01.1617/vol4/iss03/pid34591

Volume4 ,March 2018.

Developing a GIS Platform for Tourism marketing and promotion In Nigeria: Case Study Of Bauchi State

Authors: Abubakar Siddiq Ango || Abdulsalam Waheed Abdulfatah, Idrissa Djibo

Doi : 01.1617/vol3/iss09/pid91783

Volume3 ,September 2018.

Decentralized Trust Management and Trust Worthiness of Cloud Environments

Authors: Qhubaib Syed || Syed Afzal Ahmed,Syed Abdul Haq

Doi : 01.1617/vol4/iss4/pid21386

Volume4 ,April 2018.

Brain Controlled Chess Based on Virtual Reality Control for Paralyzed Patients

Authors: Sindhura Rao || Ashwini S,Kusuma Mohanchandra

Doi : 01.1617/vol4/iss4/pid82074

Volume4 ,April 2018.

Multilevel Authentication System

Authors: Nichita Silva Lobo || Beverly Rodrigues,Pavni Alluri,Prathibha Singh,Nicole Alvares

Doi : 01.1617/vol4/iss4/pid82135

Volume4 ,April 2018.

Stock Prediction Using Clustering And Regression Techniques

Authors: Shalini Lotlikar || Megha Ainapurkar

Doi : 01.1617/vol4/iss4/pid39708

Volume4 ,April 2018.

Brain Tumor Detection using Image Segmentation

Authors: Siddhi N. Nerurkar ||

Doi : 01.1617/vol4/iss4/pid02845

Volume4 ,April 2018.

Video Mining using Query by Example

Authors: Rosebud Valadares ||

Doi : 01.1617/vol4/iss4/pid89542

Volume4 ,April 2018.

Fuzzy Opinion Mining for Product Recommender System

Authors: Aarti Bandodker ||

Doi : 01.1617/vol4/iss4/pid03652

Volume4 ,April 2018.

Aadhaar and Server based Electoral system

Authors: Yugansh Garg || Sakshi Mishra

Doi : 01.1617/vol4/iss4/pid69053

Volume4 ,April 2018.

.

Editor-in-Chief

Editor Image


Dr. Allon Guez
Professor, Drexel University,
USA


View more


IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA