The 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:
pyfp
libraryfptest.py
script to run simulations.prod-orig/batch
without interference removalprod-ir/batch
with interference removalbatch.sh
which 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.