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

终止

Aggelos Kiayias,Alexander Russell,Narasimha ShashidharnkX.Design Thinking.Lego® Serious Play® .Business Model Canvas .Neu in der 3. überarbeiteten und erweiterten Auflage.In den letzten Jahren sind die Themen Digitalisierung und kognitive bzw. künstliche Intellige978-3-658-25663-0

声音刺耳

Chenglong Chen,Jiangqun Ni,Rongbin Huang,Jiwu Huang

健谈

Gnrh670

Steganalysis of LSB Replacement Using Parity-Aware Featuresinary classifier can be built, its accuracy is markedly better in comparison with the best structural and WS detectors in both uncompressed images and in decompressed JPEGs. This improvement is especially significant for very small change rates. A simple feature selection algorithm is used to obtain

FRONT

Key-Efficient Steganographys a rate of key length over message length that converges to 1 as . → ∞; the previous best result [5] achieved a constant rate > 1 regardless of the security offered. In this sense, our protocol is the first truly key-length efficient steganographic system. Furthermore, in our protocol, we can permi

conception

笨拙处理

执

Non-Integer Expansion Embedding for Prediction-Based Reversible Watermarkinglts for some standard test clips show that the non-integer output of predictor provides higher prediction performance, and the proposed NIPE scheme with the new predicting strategy can reduce the embedding distortion for the same payload.

Ergots

Statistical Detection of LSB Matching Using Hypothesis Testing Theoryeighted Stego-image (WS) detector, a practical test is presented. A numerical comparison with state-of-the-art detectors shows the good performance of the proposed tests and highlights the relevance of the proposed methodology.

Accord

A Game-Theoretic Approach to Content-Adaptive Steganographyolution exhibits a unique equilibrium in mixed strategies. Its location depends on the level of heterogeneity of the cover source, but never coincides with naïve adaptive embedding. The model makes several simplifying assumptions, including independent cover symbols and the steganalyst’s ability to recover the adaptivity criterion perfectly.