SDNCampus Dataset

The SDNCampus dataset provides a collection of flow statistics data across thirty applications available in a campus and other enterprise networks. It serves as a valuable resource for developing and evaluating deep learning models intended for precisely classifying applications generating traffic in a network.
Key Features:
The dataset precisely documents and labels thirty applications organized in single file for each application. To ensure inclusivity, a range of applications which are found on conventional computers, smart phones and Internet of Things (IoT) gadgets is represented. Efforts have been made to maintain a balanced distribution of samples across applications classes to enhance model training efficacy and generalization.