3 research outputs found
Source Anonymization of Digital Images: A CounterāForensic Attack on PRNU based Source Identification Techniques
A lot of photographers and human rights advocates need to hide their identity while sharing their images on the internet. Hence, sourceāanonymization of digital images has become a critical issue in the present digital age. The current literature contains a number of digital forensic techniques for āsourceāidentiļ¬cationā of digital images, one of the most eļ¬cient of them being PhotoāResponse NonāUniformity (PRNU) sensor noise pattern based source detection. PRNU noise pattern being unique to every digital camera, such techniques prove to be highly robust way of sourceāidentiļ¬cation. In this paper, we propose a counterāforensic technique to mislead this PRNU sensor noise pattern based sourceāidentiļ¬cation, by using a median ļ¬lter to suppress PRNU noise in an image, iteratively. Our experimental results prove that the proposed method achieves considerably higher degree of source anonymity, measured as an inverse of PeakātoāCorrelation Energy (PCE) ratio, as compared to the stateāofātheāart