Name
Title | ||
|---|---|---|
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification. |
Abstract | ||
|---|---|---|
File fragment classification is an important step in the task of file carving in digital forensics. In file carving, files must be reconstructed based on their content as a result of their fragmented storage on disk or in memory. Existing methods for classification of file fragments typically use hand-engineered features, such as byte histograms or entropy measures. In this paper, we propose an ap... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIFS.2018.2823697 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
Encoding,Feature extraction,Dictionaries,Support vector machines,Training,Machine learning,Data mining | Byte,Histogram,Pattern recognition,Digital forensics,Computer science,Neural coding,Support vector machine,Feature extraction,File carving,Artificial intelligence,Combinatorial explosion | Journal |
Volume | Issue | ISSN |
13 | 10 | 1556-6013 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Felix Wang | 1 | 1 | 1.03 |
| Tu-Thach Quach | 2 | 35 | 6.68 |
| Jason Wheeler | 3 | 1 | 0.35 |
| James B. Aimone | 4 | 15 | 10.69 |
| Conrad D. James | 5 | 11 | 5.57 |