{"title":"用于JPEG图像隐写分析的特征集评价","authors":"Qingxiao Guan, Jing Dong, T. Tan","doi":"10.1109/YCICT.2010.5713119","DOIUrl":null,"url":null,"abstract":"In past several years so many feature sets for steganalysis were proposed to detect stego images. These features based on different ideas and were considered to be effective for most steganography schemes. However a systematically comparison of these features have not been made in previous papers. In order to get a view of performance of current features in state of art, we designed several experiment to make a evaluation of them. Experiment result and conclusions draw from it were proposed in this paper.","PeriodicalId":179847,"journal":{"name":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Evaluation of feature sets for steganalysis of JPEG image\",\"authors\":\"Qingxiao Guan, Jing Dong, T. Tan\",\"doi\":\"10.1109/YCICT.2010.5713119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In past several years so many feature sets for steganalysis were proposed to detect stego images. These features based on different ideas and were considered to be effective for most steganography schemes. However a systematically comparison of these features have not been made in previous papers. In order to get a view of performance of current features in state of art, we designed several experiment to make a evaluation of them. Experiment result and conclusions draw from it were proposed in this paper.\",\"PeriodicalId\":179847,\"journal\":{\"name\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YCICT.2010.5713119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2010.5713119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of feature sets for steganalysis of JPEG image
In past several years so many feature sets for steganalysis were proposed to detect stego images. These features based on different ideas and were considered to be effective for most steganography schemes. However a systematically comparison of these features have not been made in previous papers. In order to get a view of performance of current features in state of art, we designed several experiment to make a evaluation of them. Experiment result and conclusions draw from it were proposed in this paper.
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