{"title":"数字图像中嵌入LSB的隐写分析方法","authors":"Ryan G. Benton, Henry Chu","doi":"10.1109/ITRE.2005.1503077","DOIUrl":null,"url":null,"abstract":"Steganography methods embed hidden data in digital images to provide a means of secret communication. Steganalysis methods detect such embedded data based on statistical analysis of a digital image. We experimented with using decision trees for detecting messages hidden in the least significant bit plane of an image and compared their results to those obtained using multilayered feedforward neural networks.","PeriodicalId":338920,"journal":{"name":"ITRE 2005. 3rd International Conference on Information Technology: Research and Education, 2005.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Soft computing approach to steganalysis of LSB embedding in digital images\",\"authors\":\"Ryan G. Benton, Henry Chu\",\"doi\":\"10.1109/ITRE.2005.1503077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Steganography methods embed hidden data in digital images to provide a means of secret communication. Steganalysis methods detect such embedded data based on statistical analysis of a digital image. We experimented with using decision trees for detecting messages hidden in the least significant bit plane of an image and compared their results to those obtained using multilayered feedforward neural networks.\",\"PeriodicalId\":338920,\"journal\":{\"name\":\"ITRE 2005. 3rd International Conference on Information Technology: Research and Education, 2005.\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ITRE 2005. 3rd International Conference on Information Technology: Research and Education, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITRE.2005.1503077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITRE 2005. 3rd International Conference on Information Technology: Research and Education, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITRE.2005.1503077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Soft computing approach to steganalysis of LSB embedding in digital images
Steganography methods embed hidden data in digital images to provide a means of secret communication. Steganalysis methods detect such embedded data based on statistical analysis of a digital image. We experimented with using decision trees for detecting messages hidden in the least significant bit plane of an image and compared their results to those obtained using multilayered feedforward neural networks.