Real-time identification of IoT device types

Speaker : Nesrine Ammar
Date: 15/05/2019
Time: 2:00 pm - 3:00 pm
Location: Doctoral Training Center (EIT Digital)


Identifying IoT devices types as they connect to the network enables better devices and services management. However, real-time identification is very challenging in such heterogeneous environments. We present a real-time classification approach, based on network features that are extracted both from network communication characteristics and from packets payload, to discriminate device types. Our solution automatically identifies a newly connected device to the home network. Furthermore, we evaluate the performance of our method using a representative and heterogeneous real IoT devices set.