Abstract
Currently, many forensic techniques have been developed to determine which processing operations were used to tamper multimedia contents. Determining the order of these operations, however, remains an open challenge. It is important to detect image operation order, because we can obtain the complete processing history of multimedia content, and even identify who manipulated the multimedia content and when it was manipulated. In this paper, we investigate the detection for the order of contrast enhancement and resizing. Two new algorithms are proposed to detect contrast enhancement and resizing respectively. We use the SVM to extract fingerprint of digital images and then detect the image operation of resizing and contrast enhancement. Experimental results show that the average classification accuracy of the proposed method is 88.97%.
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Acknowledgments
This work is supported by National Natural Science Foundation of China (Grant Nos. 61402162, 61472129, 61572182, 61370225, 61472131, 61272546), Hunan Provincial Natural Science Foundation of China (Grant No. 2017JJ3040), Opening Project of Shanghai Key Laboratory of Integrated Administration Technologies for Information Security (Grant No. AGK201605), Science and Technology Key Projects of Hunan Province (Grant Nos. 2015TP1004, 2016JC2012).
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Gao, S., Liao, X., Guo, S., Li, X., Vijayakumar, P. (2017). Forensic Detection for Image Operation Order: Resizing and Contrast Enhancement. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_52
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DOI: https://doi.org/10.1007/978-3-319-72395-2_52
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