Abstract
Since image processing software is widely used to tamper or embed data into JPEG images, the forensics of tampered JPEG images now plays a considerable important role. However, most existing forensics methods that use binary classification can hardly deal with multiclass image forensics problems properly under network environments. In this paper, we propose a hierarchical forensics scheme against multiple heterogeneous JPEG images. We introduce a compression identifier based on Markov model of DCT coefficients as the first hierarchical section and then develop a tampering detection and steganalyzer separately as the second phase. We conduct a series of experiments to testify the validity of the proposed method.
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Acknowledgments
The work is supported by the Foundation for Innovative Research Groups of the NSFC(Grant No. 71421001), NSFC (Grant No. 61172109).
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Kong, X., Wang, B., Yang, M., Feng, Y. (2016). Multiple Heterogeneous JPEG Image Hierarchical Forensic. In: Park, J., Jin, H., Jeong, YS., Khan, M. (eds) Advanced Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 393. Springer, Singapore. https://doi.org/10.1007/978-981-10-1536-6_66
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DOI: https://doi.org/10.1007/978-981-10-1536-6_66
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