A. Hernandez-Chamorro, Angelina Espejel Trujillo, J. López-Hernández, M. Nakano-Miyatake, H. Meana
{"title":"A Methodology of Steganalysis for Images","authors":"A. Hernandez-Chamorro, Angelina Espejel Trujillo, J. López-Hernández, M. Nakano-Miyatake, H. Meana","doi":"10.1109/CONIELECOMP.2009.42","DOIUrl":null,"url":null,"abstract":"This paper provides a comparison of some of the steganalysis methods proposed in the literature, and using these comparison results, a global steganalysis methodology is proposed. The secret message detection capacities of these steganalysis methods are evaluated using stegoimages generated by typical data hiding algorithms. The evaluation of steganalysis methods is realized in terms of false negative and false positive error rates using 100 images. There isn’t any steganalysis that can detect presence of secret message in all type of stegoimages. Therefore, to realize a reliable analysis about a suspicious image, several steganalysis methods must be efficiently combined. In this paper, some considerations about steganalysis are provided using the results obtained of the comparison of steganalysis methods.","PeriodicalId":292855,"journal":{"name":"2009 International Conference on Electrical, Communications, and Computers","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Electrical, Communications, and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONIELECOMP.2009.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper provides a comparison of some of the steganalysis methods proposed in the literature, and using these comparison results, a global steganalysis methodology is proposed. The secret message detection capacities of these steganalysis methods are evaluated using stegoimages generated by typical data hiding algorithms. The evaluation of steganalysis methods is realized in terms of false negative and false positive error rates using 100 images. There isn’t any steganalysis that can detect presence of secret message in all type of stegoimages. Therefore, to realize a reliable analysis about a suspicious image, several steganalysis methods must be efficiently combined. In this paper, some considerations about steganalysis are provided using the results obtained of the comparison of steganalysis methods.