Network Traffic (Classification) Monitoring by Machine Learning

NMS (Network Traffic Classification and Monitoring) Project scope: Develop on Python, Machine Learning by Concept adapting Very Fast decision tree (CVFDT) Algorithm (or any other algorithm which can perform well) The main objective of the study is to implement a model for network traffic monitoring through machine learning. Not port-based nor payload based. It should be flow features-based (Machine learning and statistical feature) The objectives includes [login to view URL] the process of auto data capturing [login to view URL] the process for data formatting [login to view URL] the process for data merging [login to view URL] the process for classifying traffic [login to view URL] the process for performance evaluation [login to view URL] the process of model implementation Monitoring : LAN Data/ Data from devices connected from LAN only. Initially Use the developer's network to sniff the data of the LAN network. The bidder only to work on Backend only. No need User Interface. Only CLI management console. No need of User management administration. Developer should provide Training and test datasets and datasets will be included to code when code will be delivered. Max. budget is $ 100