Artificial Neuron Network Implementation in Detection and Classification of DDoS Traffic (CROSBI ID 642418)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Peraković, Dragan ; Periša, Marko ; Cvitić, Ivan ; Husnjak, Siniša
engleski
Artificial Neuron Network Implementation in Detection and Classification of DDoS Traffic
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 prilogu
332-336.
2017.
objavljeno
10.1109/TELFOR.2016.7818791
Podaci o matičnoj publikaciji
Proceedings of papers 24nd Telecommunications Forum (TELFOR) 2016
Beograd: TЕLЕCOMMUNICАTIONS SOCIЕTY - Belgrade
978-1-5090-4085-8
Podaci o skupu
Nepoznat skup
predavanje
29.02.1904-29.02.2096
Povezanost rada
Tehnologija prometa i transport