Distributed Denial of Service Attacks Detection in Software Defined Networks

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Banitalebi Dehkordi A.; Soltanaghaei M.; Zamani Boroujeni F.

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Journal Paper

Paper Information

Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2021 | Volume:9 | Issue:1 (33) Page(s): 43-59

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Information Journal Paper

Title

Distributed Denial of Service Attacks Detection in Software Defined Networks

Author(s)

Banitalebi Dehkordi A. | Soltanaghaei M. | Zamani Boroujeni F. | Issue Writer Certificate

Keywords

Distributed Denial of ServiceQ1

Software Defined NetworkQ1

EntropyQ1

Normal DistributionQ1

Classification AlgorithmQ1

Abstract

The Software Defined Network (SDN) is a new computer architecture, where the central controller is applied. These networks rely on software and consequently, their security is exposed to different attacks through different components therein. One type of these attacks, which is the latest threat in computer network realm and the efficiency therein, is called the Distributed Denial of Services (DDoS). An attempt is made to develop an attack-detector, through a combined statistical and machine learning method. In the statistical method, the Entropy, based on destination IP and Normal Distribution in addition to dynamic threshold are applied to detect attacks. Normal Distribution is one of the most important distributions in the theory of probability. In this distribution the Entropy average and standard deviation are effective in attack detection. As for the learning algorithm, by applying the extracted features from the flows and supervised Classification Algorithms, the accuracy of attack detection increases in such networks. The applied datasets in this study consist of: ISCX-SlowDDoS2016, ISCX-IDS2012, CTU-13 and ISOT. This method outperforms its counterparts with an accuracy of 99. 65% and 0. 12 false positive rate (FPR) for the UNB-ISCX dataset, and with an accuracy of 99. 84% and 0. 25 FPR for CTU-13 dataset.

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APA: Copy

Banitalebi Dehkordi, A., Soltanaghaei, M., & Zamani Boroujeni, F.. (2021). Distributed Denial of Service Attacks Detection in Software Defined Networks. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 9(1 (33) ), 43-59. SID. https://sid.ir/paper/402114/en

Vancouver: Copy

Banitalebi Dehkordi A., Soltanaghaei M., Zamani Boroujeni F.. Distributed Denial of Service Attacks Detection in Software Defined Networks. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2021;9(1 (33) ):43-59. Available from: https://sid.ir/paper/402114/en

IEEE: Copy

A. Banitalebi Dehkordi, M. Soltanaghaei, and F. Zamani Boroujeni, “Distributed Denial of Service Attacks Detection in Software Defined Networks,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 9, no. 1 (33) , pp. 43–59, 2021, [Online]. Available: https://sid.ir/paper/402114/en

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