Research Article
Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks
Table 1
Related works based on deep learning models (single-modal architectures).
| | Research | Input data | TO | DL classifiers | O |
| | Wang et al. [10], proc. IEEE ISI | (1) PCAP trace | F/B | 1D-CNN | Y | | (2) First 784 bytes of L4 payload |
| | Lopez-Martin et al. [12], IEEE access | 6 fields extracted per packets and first 20 packets per biflow | B | 2D-CNN +LSTM | N |
| | Li et al. [13], IWQoS | IP datagram | D | RNN | N |
| | Liu et al. [14], proc. IEEE INFOCOM | IP packet lengths | B | BiGRU | N |
| | Lotfollahi et al. [11], soft computing | First 1500 bytes of L2 payload | P | SAE/1D-CNN | Y |
|
|