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Model for Detection and Classification of DDoS Traffic Based on Artificial Neural Network (CROSBI ID 241643)

Prilog u časopisu | izvorni znanstveni rad

Peraković, Dragan ; Periša, Marko ; Cvitić, Ivan ; Husnjak, Siniša Model for Detection and Classification of DDoS Traffic Based on Artificial Neural Network // Telfor Journal, 9 (2017), 1; 26-31. doi: 10.5937/telfor1701026P

Podaci o odgovornosti

Peraković, Dragan ; Periša, Marko ; Cvitić, Ivan ; Husnjak, Siniša

engleski

Model for Detection and Classification of DDoS Traffic Based on Artificial Neural Network

Detection of DDoS (Distributed Denial of Service) traffic is of great importance for the availability protection of services and other information and communication resources. The research presented in this paper shows the application of artificial neural networks in the development of detection and classification model for three types of DDoS attacks and legitimate network traffic. Simulation results of developed model showed accuracy of 95.6% in classification of pre-defined classes of traffic.

ANN ; DDoS ; network traffic ; network security

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Podaci o izdanju

9 (1)

2017.

26-31

objavljeno

1821-3251

2334-9905

10.5937/telfor1701026P

Povezanost rada

Tehnologija prometa i transport

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