Abstract
People have always been using several techniques in order to protect their privacy. For centuries, steganography has been used, but only in the last decades the proper mathematical background has been developed. Due technological advances, steganography has found many applications, with most important the protection of digital assets through DRM.
This work proposes a new detection method of steganographic content through compressive sensing. The proposed method is a probabilistic filter that can detect steganographic content in images with increased probability, if this is made with the LSB method, after applying a filter with compressive sensing technique.
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References
Wayner, P.: Disappearing Cryptography: Information Hiding: Steganography & Watermarking, 3rd edn. Morgan Kaufmann, San Francisco (2008)
Cox, I., Miller, M., Bloom, J., Fridrich, J., Kalker, T.: Digital Watermarking and Steganography, 2nd edn. Morgan Kaufmann, San Francisco (2007)
Donoho, D.L.: Compressed Sensing. IEEE Transactions on Information Theory 52(4), 1289–1306 (2006)
Candés, E.J., Wakin, M.B.: An Introduction To Compressive Sampling. IEEE Signal Processing Magazine 21 (March 2008)
Donoho, D.L.: Compressed Sensing. IEEE Transactions on Information Theory 52(4), 1289–1306 (2006)
Westfeld, A., Pfitzmann, A.: Attacks on steganographic systems. In: 3rd International Workshop on Information Hiding (1999)
Fridrich, J., Goljan, M., Du, R.: Reliable detection of LSB steganography in color and grayscale images. In: Proc. ACM Workshop on Multimedia Security, Ottawa, Canada (2001)
Dumitrescu, S., Wu, X., Wang, Z.: “Detection of LSB steganography via sample pair analysis. IEEE Trans. on Signal Processing 51(7), 1995–2007 (2003)
Dumitrescu, S., Wu, X.: A new framework of LSB steganalysis of digital media. IEEE Trans. on Signal Processing, Supplement on Secure Media 53(10), 3936–3947 (2005)
Dumitrescu, X.: LSB Steganalysis Based on High-order Statistics. In: Proc. of ACM Multimedia Security Workshop 2005, pp. 25–32 (August 2005)
Fridrich, J., Pevny, T.: Novelty Detection in Blind Steganalysis. In: Proc. ACM Multimedia and Security Workshop, Oxford, UK, September 22-23, pp. 167–176 (2008)
Fridrich, J., Pevny, T., Ker, A.D.: From Blind to Quantitative Steganalysis. In: Proc. SPIE, Electronic Imaging, Media Forensics and Security XI, San Jose, CA, January 18-22, pp. 0C 1-0C 14 (2009)
Shannon, C.E.: Communication in the presence of noise. Proc. Institute of Radio Engineers 37(1), 10–21 (1949)
Candés, E.J., Romberg, J., Tao, T.: “Stable signal recovery from incomplete and inaccurate measurements”. Comm. Pure Appl. Math. 59, 1207–1223 (2006)
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Patsakis, C., Aroukatos, N., Zimeras, S. (2011). LSB Steganographic Detection Using Compressive Sensing. In: Tsihrintzis, G.A., Virvou, M., Jain, L.C., Howlett, R.J. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22158-3_22
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DOI: https://doi.org/10.1007/978-3-642-22158-3_22
Publisher Name: Springer, Berlin, Heidelberg
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