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Pregled bibliografske jedinice broj: 889329

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


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 (recenziran, članak, znanstveni)


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

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

Izvornik
Telfor Journal (1821-3251) 9 (2017), 1; 26-31

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
ANN ; DDoS ; network traffic ; network security

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Fakultet prometnih znanosti, Zagreb

Časopis indeksira:


  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • DOAJ
  • Google Scholar


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