Research Article
A Framework for Identification and Classification of IoT Devices for Security Analysis in Heterogeneous Network
| Technique | Dataset | Result |
| Random forest (identification of devices) | UNSW | 82.34% | Decision tree (identification of devices) | UNSW | 79.88% | CNN-LSTM (categories [13]) | UNSW | 74.5% | Proposed framework (HDNN) | UNSW | 91.30% (average) |
|
|