IP Network Traffic Protocol Prediction

Classification of applications network traffic based on netflow metadata project for DTSA 5510 Unsupervised Algorithms in Machine Learning In this project we compare unsupervised and supervised approaches to classifying applications network traffic based on netflow metadata.

Data

https://www.kaggle.com/datasets/jsrojas/ip-network-traffic-flows-labeled-with-87-apps

References

Research Gate: https://www.researchgate.net/publication/326150046_Personalized_Service_Degradation_Policies_on_OTT_Applications_Based_on_the_Consumption_Behavior_of_Users

Research Gate: https://www.researchgate.net/publication/335954240_Consumption_Behavior_Analysis_of_Over_The_Top_Services_Incremental_Learning_or_Traditional_Methods

Springer: https://link.springer.com/chapter/10.1007/978-3-319-95168-3_37

IEEExplore https://ieeexplore.ieee.org/document/8845576

Research Gate: https://www.researchgate.net/publication/345990587_Smart_User_Consumption_Profiling_Incremental_Learning-based_OTT_Service_Degradation

IEEExpore https://ieeexplore.ieee.org/document/9258898