{"title":"Synchronization Minimizing Statistical Detectability for Side-Informed JPEG Steganography","authors":"Quentin Giboulot, P. Bas, R. Cogranne","doi":"10.1109/WIFS49906.2020.9360884","DOIUrl":null,"url":null,"abstract":"Current schemes in steganography relying on synchronization are all based on a general heuristic to take into account interactions between embedding changes. However these approaches, while often competitive, lack a clear model for the relationship between pixels/DCT coefficient and the distortion function, and, as such, do not give any guarantees in terms of detectabilty. To solve this problem, we herein propose a synchronized side-informed scheme in the JPEG domain based on minimizing statistical detectability which achieves state-of-the- art performances. This is done by exploiting a statistical model that takes into account correlations between DCT coefficients and adding an optimal steganographic-signal with covariance which is a scaled version of the cover noise covariance. This method allows a clear understanding of the reasons why, depending on the processing pipeline, synchronization using both intra and inter-block dependencies allows such gains in performance.","PeriodicalId":354881,"journal":{"name":"2020 IEEE International Workshop on Information Forensics and Security (WIFS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Workshop on Information Forensics and Security (WIFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIFS49906.2020.9360884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Current schemes in steganography relying on synchronization are all based on a general heuristic to take into account interactions between embedding changes. However these approaches, while often competitive, lack a clear model for the relationship between pixels/DCT coefficient and the distortion function, and, as such, do not give any guarantees in terms of detectabilty. To solve this problem, we herein propose a synchronized side-informed scheme in the JPEG domain based on minimizing statistical detectability which achieves state-of-the- art performances. This is done by exploiting a statistical model that takes into account correlations between DCT coefficients and adding an optimal steganographic-signal with covariance which is a scaled version of the cover noise covariance. This method allows a clear understanding of the reasons why, depending on the processing pipeline, synchronization using both intra and inter-block dependencies allows such gains in performance.