Identification of JPEG files fragments on digital media using binary patterns based on Huffman code table
Alexander Sorokin, Ekaterina Makushenko · 2016
File fragmentation proves to be a major challenge for the majority of file carving techniques. Following the works of Simson Garfinkel, Nasir Memon and other authors we seek to find a technique to identify digital fragments (clusters or sectors) of JPEG-files on the digital storage medium or at least sort all the fragments of the storage based on their probability of being the part of JPEG-file from the most probable to the least probable. This paper offers the technique of identifying clusters of JPEG-files on the storage medium based on binary patterns and the experimental results of an attempt to build a similar technique for sector identifying.