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°ïæ²éÏÂÎÒµÄÎÄÕÂÊDz»ÊÇEI¼ìË÷²¢¸ø³ö¼ìË÷ºÅ£¬Ð»Ð»ÁË Blind JPEG Steganalysis Based on Correlations of DCT Cofficients in Multi-directions and Calibrations 2009 International Conference on Multimedia Information Networking and Security Yong Wang JiuFen Liu WeiMing Zhang Hubei, China November 18-November 20 ISBN: 978-0-7695-3843-3 |
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Accession number: 20101012761279 Title: Blind JPEG steganalysis based on correlations of DCT cofficients in multi-directions and calibrations Authors: Wang, Yong1 ; Liu, JiuFen1 ; Zhang, WeiMing1 Author affiliation: 1 Department of Applied Mathematics, Institute of Information Science and Technology, Zhengzhou, China Corresponding author: Wang, Y. (creasynec@hotmail.com) Source title: 1st International Conference on Multimedia Information Networking and Security, MINES 2009 Abbreviated source title: Int. Conf. Multimedia Inf. Networking Secur., MINES Volume: 1 Monograph title: 1st International Conference on Multimedia Information Networking and Security, MINES 2009 Issue date: 2009 Publication year: 2009 Pages: 495-499 Article number: 5368437 Language: English ISBN-13: 9780769538433 Document type: Conference article (CA) Conference name: 1st International Conference on Multimedia Information Networking and Security, MINES 2009 Conference date: November 17, 2009 - November 20, 2009 Conference location: Hubei, China Conference code: 79454 Sponsor: IEEE Wuhan Section; IEEE Signal Processing Society Tainan Chapter Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract: This paper presents a universal steganalysis scheme to detect popular JPEG steganography effectively. First, a new kind of transition probability matrix is constructed to describe correlations of the quantized DCT coefficients in the multi-directions. Second, by merging two different calibrations, a 96-dimensional feature vector is extracted, and then the SVM is trained to build the steganalyzer. The results of a series of experiments performed on 4 kinds of typical steganography in different embedding ratios show that the new method outperforms previous methods to make a more reliable blind detection for these typical stegangraphic methods. © 2009 IEEE. Number of references: 12 Main heading: Steganography Controlled terms: Calibration - Cosine transforms - Cryptography - Discrete cosine transforms - Mining Uncontrolled terms: Blind detection - Feature vectors - Multi-directions - Quantized DCT coefficients - Steganalysis - Transition probability matrix - Universal steganalysis Classification code: 943 Mechanical and Miscellaneous Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 941 Acoustical and Optical Measuring Instruments - 921.3 Mathematical Transformations - 902.2 Codes and Standards - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 723.2 Data Processing and Image Processing - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 502.1 Mine and Quarry Operations - 723 Computer Software, Data Handling and Applications DOI: 10.1109/MINES.2009.135 Database: Compendex Compilation and indexing terms, © 2009 Elsevier Inc. |
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