Pregled bibliografske jedinice broj: 889329
Model for Detection and Classification of DDoS Traffic Based on Artificial Neural Network
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)
CROSBI ID: 889329 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
Uključenost u ostale bibliografske baze podataka::
- DOAJ
- Google Scholar
