supported by National Natural Science Foundation of China(Grant Nos.62002075,61872244,61872099,U19B2022);Guangdong Basic and Applied Basic Research Foundation(Grant No.2019B151502001);Shenzhen R&D Program(Grant No.JCYJ20200109105008228).
Image steganography is the art and science of secure communication by concealing information within digital images.In recent years,the techniques of steganographic cost learning have developed rapidly.Although the exi...
supported by National Natural Science Foundation of China (Grants Nos. U1536109, 61671282, 61373151, 61525305)
Dear editor,Steganography is an important method of covert communication. Steganalysis, an advanced antisteganographic technique can detect steganographic behavior and even reveal the stego key in a certain steganogra...
partly supported by National Natural Science Foundation of China(Grant No.61302159);Excellent Youth Foundation of Henan Province of China(Grant No.144100510001);Foundation of Science and Technology on Information Assurance Laboratory(Grant No.KJ-14-108);Doctoral Dissertation Innovation Fund of Zhengzhou Information Science and Technology Institute(Grant No.BSLWCX201309)
At present, steganalysis research focuses on detecting the existence of a hidden message. However, extracting the hidden information, i.e., an extracting attack, is crucial in obtaining effective evidence in computer ...
supported in part by the 973 Program(2011CB302204);the National Natural Science Fundation for Distinguished Young Scholar(61025013);the National Natural Science Foundation of China(61210006,61272355);PCSIRT(IRT 201206)
In this paper, a channel selection rule for YASS (Yet-Another-Secure-Steganography) is proposed. Secret message embedding imposes distortion to the cover image. The larger the distortion, the less secure the stegano...
supported by National Natural Science Foundation of China(Grant No.60970142)
Subtractive pixel adjacency matrix (SPAM) features, introduced by Pevn:~ et al. as a type of Markov chain features, are widely used for blind steganalysis in the spatial domain. In this pa.peL we present three impr...
supported by the National Natural Science Foundation of China (Grant Nos. 60970141, 60902102,60873249);the National High-Tech Research & Development Program of China (Grant No. 2008AA10Z419);the Science-Technology Project of Zhengzhou City of China (Grant No. 083SGYG21125);the Doctoral Dissertation Innovation Fund of Information Science and Technology Institute (Grant No. BSLWCX200804)
This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the ad...