{"title":"块结构chi-(p,q)隐写分析方法","authors":"S. Agaian, J. P. Pérez","doi":"10.1109/TPSD.2006.5507411","DOIUrl":null,"url":null,"abstract":"In this paper we propose a new approach using a parametric chi-(p,q) statistical decision stego detection technique. The new approach can detect both randomly and sequentially embedded sensitive data. Computer simulations have shown that the presented algorithm has the following advantages: 1) Ability to localize concentrations of hidden information; 2) Ability to perform detection faster than existing methods; 3) Ability to detect images using an adjustable block structure method that takes into account the correlation between adjacent blocks. Comparison with common existing steganalysis methods will also be presented.","PeriodicalId":385396,"journal":{"name":"2006 IEEE Region 5 Conference","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Block structure chi-(p,q) steganalysis method\",\"authors\":\"S. Agaian, J. P. Pérez\",\"doi\":\"10.1109/TPSD.2006.5507411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a new approach using a parametric chi-(p,q) statistical decision stego detection technique. The new approach can detect both randomly and sequentially embedded sensitive data. Computer simulations have shown that the presented algorithm has the following advantages: 1) Ability to localize concentrations of hidden information; 2) Ability to perform detection faster than existing methods; 3) Ability to detect images using an adjustable block structure method that takes into account the correlation between adjacent blocks. Comparison with common existing steganalysis methods will also be presented.\",\"PeriodicalId\":385396,\"journal\":{\"name\":\"2006 IEEE Region 5 Conference\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Region 5 Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TPSD.2006.5507411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Region 5 Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TPSD.2006.5507411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we propose a new approach using a parametric chi-(p,q) statistical decision stego detection technique. The new approach can detect both randomly and sequentially embedded sensitive data. Computer simulations have shown that the presented algorithm has the following advantages: 1) Ability to localize concentrations of hidden information; 2) Ability to perform detection faster than existing methods; 3) Ability to detect images using an adjustable block structure method that takes into account the correlation between adjacent blocks. Comparison with common existing steganalysis methods will also be presented.