Packet Vision

Network Traffic Classification

We propose a new public and free dataset containing network traffic images, specifically designed to evaluate and compare algorithms for image classification on-the-fly. PacketVision aimed to explore the Open Policy Interface (OPI), an interface that supports NASOR to establish network slicing across multiple administrative and technological domains.

The built dataset had processed through Packet Vision, an approach capable of creating images from raw-data of network packets, collected passively on network interfaces. Our method currently advances those found in state-of-the-art because we consider both header and payload to build pictures, avoiding pre-processing ones. This strategy aimed to provide security and privacy by transforming the raw-data packet into images while enabling opportunities to exploit image classification technics, especially CNNs.

Dataset

The dataset is structured as follows:

Class Samples
Total 5797
 Bit Torrent 1217
 DNS  1412
 VoIP  1320
IoT  1848

Download

The PacketVision dataset is released for academic research only and is free to researchers from educational or research institutes for non-commercial purposes.

  • Download and Term of use

    All requests for the Packet Vision dataset must be directed (by email) to Rodrigo Moreira (rodrigo@ufv.br) or Larissa F. Rodrigues (larissa.f.rodrigues@ufv.br).

    Applicants should manually fill, sign, scan and attach the application form to the given email address. Upon receipt of an executed copy of the signed application form, access instructions will be given.
    Download Application Form (PDF)

Citation

All documents and papers that report on research that uses the PacketVision dataset must include an appropriate citation see the related publications section.

Publications

  • Moreira, R., Rodrigues, L. F., Rosa, P. F., Aguiar, R. L., Silva, F. O.
    Enhancing dynamism in management and network slice establishment through deep learning
    2021 International Conference on Information Networking (ICOIN). IEEE, 2021.
    [BibTeX]
  • Moreira, R., Rodrigues, L. F., Rosa, P. F., Aguiar, R. L., Silva, F. O.
    Packet Vision: a convolutional neural network approach for network traffic classification
    33rd SIBGRAPI Conference on Graphics, Patterns and Images. IEEE, 2020.
    [BibTeX]
  • Moreira, R., Rodrigues, L. F., Rosa, P. F., Silva, F. O.
    Improving the network traffic classification using the Packet Vision approach
    Workshop de Visão Computacional, 2020.
    [BibTeX]

Contact

Please contact Rodrigo Moreira or Larissa Rodrigues with questions or comments.

rodrigo@ufv.br
larissa.f.rodrigues@ufv.br