Name
Abstract | ||
|---|---|---|
The ability to detect fragments of deleted image files and to reconstruct these image files from all available fragments on disk is a key activity in the field of digital forensics. Although reconstruction of image files from the file fragments on disk can be accomplished by simply comparing the content of sectors on disk with the content of known files, this brute-force approach can be time consuming.This paper presents results from research into the use of Graphics Processing Units (GPUs) in detecting specific image file byte patterns in disk clusters. Unique identifying pattern for each disk sector is compared against patterns in known images. A pattern match indicates the potential presence of an image and flags the disk sector for further in-depth examination to confirm the match. The GPU-based implementation outperforms the software implementation by a significant margin. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/HICSS.2009.494 | hawaii international conference on system sciences |
Keywords | DocType | Volume |
software implementation,hash-based data carving,graphics processors,known file,gpu-based implementation,specific image file byte,known image,disk sector,image file,pattern match,file fragment,disk cluster,cluster computing,pattern matching,digital forensics,parallel | Conference | abs/0901.1307 |
ISSN | Citations | PageRank |
42nd Hawaii International Conference on System Sciences, Waikoloa
: \'Etats-Unis d'Am\'erique (2009) | 9 | 0.97 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sylvain Collange | 1 | 166 | 18.07 |
| Yoginder S. Dandass | 2 | 147 | 11.74 |
| Marc Daumas | 3 | 216 | 25.32 |
| David Defour | 4 | 131 | 18.28 |