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

*此作品的通信作者

研究成果: Article同行評審

21 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)292-304
頁數13
期刊Computer Standards and Interfaces
34
發行號3
DOIs
出版狀態Published - 3月 2012

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