Name
Abstract | ||
|---|---|---|
Digital media (i.e. image, audio) has played an important role in today information system. The increasing of popularity in digital media has brought forth a number of technology advancements. This, however, also gives birth to a number of forgeries and attacks against this type of information. With the availability of easy-to-use media manipulating tools available online, the authenticity of today digital media cannot be guaranteed. In this paper, a new general framework for enhancing today media splicing detection has been proposed. By combining results from two traditional approaches, the enhanced detection results show improvement in term of clarity in which anomalies are more explicitly shown, providing easier and faster way for a forensic practitioner to investigate and verify the authenticity of the target digital media. Regarding the experiment, the developed framework is tested against a number of realistic tampered (spliced) media. Moreover, the enhanced detection results are compared with traditional approaches in order to ensure the efficiency of our proposed method in the realistic situation. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.15394/jdfsl.2018.1481 | JOURNAL OF DIGITAL FORENSICS SECURITY AND LAW |
Keywords | Field | DocType |
splicing,forgery,digital forensics,similarity measurement,media tampering | Digital forensics,Computer science,RNA splicing,Computational biology | Journal |
Volume | Issue | ISSN |
13 | 2 | 1558-7215 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Songpon Teerakanok | 1 | 0 | 0.34 |
| Tetsutaro Uehara | 2 | 48 | 14.20 |