/LTE-fingerprint

IEEE/IFIP 2023 Targeted Privacy Attacks by Fingerprinting Mobile Apps in LTE Radio Layer

LTE-fingerprint

IEEE/IFIP 2023 Targeted Privacy Attacks by Fingerprinting Mobile Apps in LTE Radio Layer

How to Train and Test

The datset for three apps are given in this repository.

  1. Netflix
  2. Amazon
  3. Youtube

The file is given in CSV format. To test the scenarios, you can follow the steps given below:

  1. Use the tool Weka (https://www.cs.waikato.ac.nz/ml/weka/)
  2. You can use the CSV format directly or you can convert to ARFF format. (A sample ARFF format file is given in the repository for your example)
  3. Later the input file (CSV/ARFF) can be directly loaded to the WEKA and select corresponding algorithm for your result.