This webpage contains additional material of the paper:
“Real-Time Classification of Real-Time Communications“
(currently under revision)
You can find the dataset and the classifiers on this link:
The link contains:
- webex_dataset.csv – a csv file of all 96 features described in the paper, the timestamps, label and video quality calculated for all Webex traffic
- webex_classifier_trained.pkl – a pickle file of the trained classifier for Webex
- jitsi_dataset.csv – a csv file of all 96 features described in the paper, the timestamps, label and video quality calculated for all Jitsi traffic
- jitsi_classifier_trained.pkl – a pickle file of the trained classifier for Jitsi
Note that the classifiers are trained on a subset of their respective dataset (a training set) using only 8 features for Webex and 4 features for Jitsi, as explained in the paper. The time aggregation in the provided csv files is 1s.
|Features used for Webex||Features used for Jitsi|
The tool used to calculate the features from raw pcap files and log files, by the name of Retina, is available on Github:
Hope you enjoyed this post and the paper itself! For more info you can always contact us by email.