pyfp library was developed to obtain
experimental results for the paper.
Download source code as tar ball.
Version 0.2 of the pyfp library has been augmented for the sake of another paper, currently under review.
The download file contains the following elements:
fptest.pyscript to run simulations.
prod-orig/batchwithout interference removal
prod-ir/batchwith interference removal
batch.shwhich can be used to submit all the jobs needed to a PBS or Torque queue. It must be amended to fit local directory structure.
The program runs a Monte Carlo simulator, so the output will be pseudo-random. Thus, obviously, the output will not exactly match the results in the paper.
The pyfp library provides functions to generate, embed, and attack digital fingerprinting systems. It has been created for research on the topic and is still underdocumented. Please ask for advice if you need it.