Naslov
Novel Classification of IoT Devices Based on Traffic Flow Features

Autori
Cvitić, Ivan ; Peraković, Dragan ; Periša, Marko ; Stojanović, Mirjana D.

Izvornik
Journal of Organizational and End User Computing (1546-2234) 33 (2021), 6; 1-20

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

Ključne riječi
Cybersecurity ; Human Type Communication ; Internet of Things ; Machine Type Communication ; Network Anomaly ; Network Flow ; Network Traffic ; SHIoT ; Smart Home

Sažetak
The concept of IoT (internet of things) assumes a continuous increase in the number of devices, which raises the problem of classifying them for different purposes. Based on their semantic characteristics, meaning, functionality, or domain of usage, the system classes have been identified so far. This study’s purpose is to identify device classes based on traffic flow characteristics such as the coefficient of variation of the received and sent data ratio. Such specified classes can combine devices based on behavior predictability and can serve as the basis for the creation of network management or network anomaly detection classification models. Four generic classes of IoT devices were defined using the classification of the coefficient of variation method.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport

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