Pregled bibliografske jedinice broj: 1036476
Analysis of Network Traffic Features Generated by IoT Devices
Analysis of Network Traffic Features Generated by IoT Devices // XXXVII Simpozijum o novim tehnologijama u poštanskom i telekomunikacionom saobraćaju – PosTel 2019 / Radojičić, Valentina ; Bojović, Nebojša ; Marković, Dejan ; Marković, Goran (ur.).
Beograd: Univerzitet u Beogradu - Saobraćajni fakultet, 2019. str. 193-200 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Analysis of Network Traffic Features Generated by IoT Devices
Autori
Cvitić, Ivan ; Zorić, Petra ; Kuljanić, Tibor Mijo ; Musa, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
XXXVII Simpozijum o novim tehnologijama u poštanskom i telekomunikacionom saobraćaju – PosTel 2019
/ Radojičić, Valentina ; Bojović, Nebojša ; Marković, Dejan ; Marković, Goran - Beograd : Univerzitet u Beogradu - Saobraćajni fakultet, 2019, 193-200
ISBN
978-86-7395-410-3
Skup
XXXVII simpozijum o novim tehnologijama u poštanskom i telekomunikacionom saobraćaju (PosTel 2019)
Mjesto i datum
Beograd, Srbija, 03.12.2019. - 04.12.2019
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
classification ; network traffic flow ; anomaly detection ; DDoS
Sažetak
Devices that coexist in the Internet of Things environment are growing in number and their application is becoming more diverse. This opens many problem areas for research. Examples of such areas are the classification of IoT devices, the detection of network traffic anomalies that such devices generate, and the monitoring and management of IoT devices and communication infrastructure. Certain researches indicate homogeneity of device behavior within individual groups of IoT devices and heterogeneity between different groups. The problem of defining groups of devices with similar characteristics is emphasized. This paper presents an analysis of network traffic features generated by IoT devices in order to gain insight into the traffic features that can be used as a framework for further research in a field of device class definition and device classification in the IoT environment.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb