Using decision fusion of feature selection in digital forensics for camera source model identification

Min-Jen Tsai*, Chen Sheng Wang, Jung Liu, Jin Sheng Yin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Digital forensics, which identifies the characteristics and origin of a digital device, has become a new field of research. If digital content will serve as evidence in court, similar to its non-digital counterparts, digital forensics can play a crucial role in identifying the source model or device. To achieve this goal, the relationship between an image and its camera model will be explored. Various image-related and hardware-related features are utilized in the proposed model by a support vector machine approach along with decision fusion techniques. Furthermore, the optimum feature subset to achieve the highest accuracy rate is also explored.

Original languageEnglish
Pages (from-to)292-304
Number of pages13
JournalComputer Standards and Interfaces
Volume34
Issue number3
DOIs
StatePublished - 1 Mar 2012

Keywords

  • Camera model identification
  • Decision fusion
  • Digital image forensics
  • Feature selection

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