Research Article
Smart Home IoT Traffic Characteristics as a Basis for DDoS Traffic Detection
@INPROCEEDINGS{10.4108/eai.6-11-2018.2279336, author={Ivan Cvitić and Dragan Peraković and Marko Periša and Mate Botica}, title={Smart Home IoT Traffic Characteristics as a Basis for DDoS Traffic Detection}, proceedings={3rd EAI International Conference on Management of Manufacturing Systems}, publisher={EAI}, proceedings_a={MMS}, year={2018}, month={12}, keywords={mtc htc payload exchange traffic event driven traffic periodic update traffic shiot}, doi={10.4108/eai.6-11-2018.2279336} }- Ivan Cvitić
Dragan Peraković
Marko Periša
Mate Botica
Year: 2018
Smart Home IoT Traffic Characteristics as a Basis for DDoS Traffic Detection
MMS
EAI
DOI: 10.4108/eai.6-11-2018.2279336
Abstract
Distributed denial of Service (DDoS) attack is a continuous threat to the availability of information and communication resources. The development and growth of acceptance and the continuous increase in the number of devices within the IoT concept provides the platform for the implementation of DDoS attacks of significantly greater traffic intensity than is currently possible. Numerous botnet networks, where the most prominent representative is Mirai botnet, use the inadequate protection of IoT devices in the smart home environment for generating illegitimate DDoS traffic. To further development of the timely DDoS traffic detection generated in the aforementioned environment, this research seeks to establish the diversity of traffic generated by IoT devices in a smart home environment with respect to the traffic generated through human type communication. Research results will represent base for the future development of new models aimed at detecting this specific DDoS traffic type.
