Pregled bibliografske jedinice broj: 847519
Artificial Neuron Network Implementation in Detection and Classification of DDoS Traffic
Artificial Neuron Network Implementation in Detection and Classification of DDoS Traffic // Proceedings of papers 24nd Telecommunications Forum (TELFOR) 2016
Beograd: TЕLЕCOMMUNICАTIONS SOCIЕTY - Belgrade, 2017. str. 332-336 doi:10.1109/TELFOR.2016.7818791 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 847519 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Artificial Neuron Network Implementation in Detection and Classification of DDoS Traffic
Autori
Peraković, Dragan ; Periša, Marko ; Cvitić, Ivan ; Husnjak, Siniša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of papers 24nd Telecommunications Forum (TELFOR) 2016
/ - Beograd : TЕLЕCOMMUNICАTIONS SOCIЕTY - Belgrade, 2017, 332-336
ISBN
978-1-5090-4085-8
Skup
24th Telecommunications Forum (TELFOR) 2016
Mjesto i datum
Beograd, Srbija, 22.11.2016. - 23.11.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
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:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus