A novel intelligent approach for detecting DoS flooding attacks in software-defined networks

International Journal of Advances in Intelligent Informatics

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Field Value
 
Title A novel intelligent approach for detecting DoS flooding attacks in software-defined networks
 
Creator Latah, Majd
Toker, Levent
 
Subject Denial of Service (DoS) Flooding Attacks; Software-Defined Networking (SDN); Support Vector Machines (SVM)
 
Description Software-Defined Networking (SDN) is an emerging networking paradigm that provides an advanced programming capability and moves the control functionality to a centralized controller. This paper proposes a two-stage novel intelligent approach that takes advantage of the SDN approach to detect Denial of Service (DoS) flooding attacks based on calculation of packet rate as the first step and followed by Support Vector Machine (SVM) classification as the second step. Flow concept is an essential idea in OpenFlow protocol, which represents a common interface between an SDN switch and an SDN controller. Therefore, our system calculates the packet rate of each flow based on flow statistics obtained by SDN controller. Once the packet rate exceeds a predefined threshold, the system will activate the packet inspection unit, which, in turn, will use the (SVM) algorithm to classify the previously collected packets. The experimental results showed that our system was able to detect DoS flooding attacks with 96.25% accuracy and 0.26% false alarm rate.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2018-03-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/138
10.26555/ijain.v4i1.138
 
Source International Journal of Advances in Intelligent Informatics; Vol 4, No 1 (2018): March 2018; 11-20
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/138/ijain_v4i1_p11-20
 
Rights Copyright (c) 2018 International Journal of Advances in Intelligent Informatics
https://creativecommons.org/licenses/by-sa/4.0
 

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