3rd EAI International Conference on Management of Manufacturing Systems

Research Article

Smart Home IoT Traffic Characteristics as a Basis for DDoS Traffic Detection

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  • @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
Ivan Cvitić1,*, Dragan Peraković1, Marko Periša1, Mate Botica2
  • 1: University of Zagreb, Faculty of Transport and Traffic Sciences
  • 2: OiV Transmitters and Communications Ltd.
*Contact email: ivan.cvitic@fpz.hr

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.