• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2015, Volume: 8, Issue: 28, Pages: 1-7

Original Article

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


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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