| Speaker : | Nesrine Ammar |
| Nokia&UPMC | |
| Date: | 15/05/2019 |
| Time: | 2:00 pm - 3:00 pm |
| Location: | Doctoral Training Center (EIT Digital) |
Abstract
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.