Titlebook: Information Hiding; 14th International C Matthias Kirchner,Dipak Ghosal Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 2013

阻塞

Bias Equalizer for Binary Probabilistic Fingerprinting Codeszed for probabilistic fingerprinting codes utilizing the encoding parameters. Although the proposed bias equalizer is highly dependent on collusion strategies, it can improve the performance of traceability for some typical strategies to which the conventional bias equalizer can not be applied.

Ethics

0302-9743 lysis, data hiding in unusual content, steganography, covert channels, anonymity and privacy, watermarking, and fingerprinting.978-3-642-36372-6978-3-642-36373-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

重畫只能放棄

frenzy

Flat-Feet

Blind Median Filtering Detection Using Statistics in Difference Domainper, we focus on two topics: 1) an analysis of the statistics in the difference domain of median filtered images; 2) a new approach based on the statistical characterization in difference domain to overcome the shortages of the prior related works. Specifically, we derive the cumulative distribution

對(duì)待

教唆

narcissism

obstinate

Textural Features for Steganalysisis. On the other hand, the data hidden in the image texture area has been known difficult to detect for years, and the modern steganographic schemes tend to embed data into complicated texture area where the statistical modeling becomes difficult. Based on these observations, we propose to learn and

decode

JPEG-Compatibility Steganalysis Using Block-Histogram of Recompression Artifactsg the previous art, we work with the difference between the stego image and an estimate of the cover image obtained by recompression with a JPEG quantization table estimated from the stego image. To better distinguish recompression artifacts from embedding changes, the difference image is represente