Indian Journal of Science and Technology

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Diagnosis of Distributed Denial of Service Attacks using the Combination Method of Fuzzy Neural Network and Evolutionary Algorithm


Affiliations
1 Department of Computer Engineering, Damavand Science and Research Branch, Islamic Azad University, Damavand, Iran, Islamic Republic of
2 Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of
 

Availability, integrity and confidentiality are the key concepts of cyber security. Distributed denial of service attacks affecting the availability of information sources. This type of attack when be successful which led to the non-availability to the information sources. The success and impact of service denial attacks will be identified based on the victims and the risk level, threat and consequences of this attack, according to each case is different. The aim of this study is DDOS attack detection with differential evolutionary algorithm combination method and the fuzzy neural network ANFIS. For this purpose will pay to simulate and evaluate the proposed approach. In order to simulate in this research which is used MATLAB 2013b software which is a programming language and environment for scientific computing. The result of comparison showed that the ANFIS combination algorithm and differential evolution than to the ANFIS algorithm has more accuracy.

Keywords

ANFIS, Cyber Security, DDOS Attacks, Differential Evolution
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  • Diagnosis of Distributed Denial of Service Attacks using the Combination Method of Fuzzy Neural Network and Evolutionary Algorithm

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Authors

Saeid Mahmoudpour
Department of Computer Engineering, Damavand Science and Research Branch, Islamic Azad University, Damavand, Iran, Islamic Republic of
Seyed Javad Mirabedini
Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran, Islamic Republic of

Abstract


Availability, integrity and confidentiality are the key concepts of cyber security. Distributed denial of service attacks affecting the availability of information sources. This type of attack when be successful which led to the non-availability to the information sources. The success and impact of service denial attacks will be identified based on the victims and the risk level, threat and consequences of this attack, according to each case is different. The aim of this study is DDOS attack detection with differential evolutionary algorithm combination method and the fuzzy neural network ANFIS. For this purpose will pay to simulate and evaluate the proposed approach. In order to simulate in this research which is used MATLAB 2013b software which is a programming language and environment for scientific computing. The result of comparison showed that the ANFIS combination algorithm and differential evolution than to the ANFIS algorithm has more accuracy.

Keywords


ANFIS, Cyber Security, DDOS Attacks, Differential Evolution



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i28%2F121331