@techreport{TR-IC-06-07,
  number = {IC-06-07},
  author = {Anderson Rocha and Siome Goldenstein},
  title = {Progressive Randomization for Steganalysis},
  month = {April},
  year = {2006}, 
  institution = {Institute of Computing, University of Campinas},
  note = {In English, 16 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       In this paper, we describe a new methodology to detect the
       presence of hidden digital content in the Least Significant
       Bits (LSB) of images. We introduce the Progressive
       Randomization (PR) technique that captures statistical
       artifacts inserted during the hiding process. Our technique is
       a progressive application of LSB modifying transformations that
       receives an image as input, and returns $n$ images that only
       differ in the LSB from the initial image. Each step of the
       progressive randomization approach represents a possible
       content-hiding scenario with increasing size, and increasing
       LSB entropy. We validate our method with 20,000 real,
       non-synthetic images. Using only statistical descriptors of LSB
       occurrences, our method already performs better than comparable
       techniques in the literature.
  }
}