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

Authors:
Min-Jen Tsai;Chen-Sheng Wang;Jung Liu;Jin-Sheng Yin
Affiliations:
National Chiao Tung University, Institute of Information Management, 1001 Ta-Hsueh Road, Hsin-Chu 300, Taiwan, ROC;National Chiao Tung University, Institute of Information Management, 1001 Ta-Hsueh Road, Hsin-Chu 300, Taiwan, ROC and Ta Hwa Institute of Technology, Department of Information Management, 1 Tahwa ...;National Chiao Tung University, Institute of Information Management, 1001 Ta-Hsueh Road, Hsin-Chu 300, Taiwan, ROC;National Chiao Tung University, Institute of Information Management, 1001 Ta-Hsueh Road, Hsin-Chu 300, Taiwan, ROC
Venue:
Computer Standards & Interfaces
Year:
2012

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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.