{"title":"与CNN对抗隐写安全","authors":"Narendrapurapu Surya Chandu, N. Subramanian","doi":"10.1109/ISDFS55398.2022.9800800","DOIUrl":null,"url":null,"abstract":"Accurate steganalysis is required for extracting secret data hidden using different steganographic techniques. A steganalysis technique using the \"Yedroudj\" network is proposed in this work. The common steganalysis process is followed using highlight extractors and classifiers. The suspected images are classified with Convolutional Neural Network(CNN) and tested. The accuracy of detecting a steganography image with the proposed network and strategy was around 86.36%. Extracting data from images that used steganography tools like Xiao and Open puff are tested using the yedroudj network by detecting the steganography information.","PeriodicalId":114335,"journal":{"name":"2022 10th International Symposium on Digital Forensics and Security (ISDFS)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Countering Steganographic Security with CNN\",\"authors\":\"Narendrapurapu Surya Chandu, N. Subramanian\",\"doi\":\"10.1109/ISDFS55398.2022.9800800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accurate steganalysis is required for extracting secret data hidden using different steganographic techniques. A steganalysis technique using the \\\"Yedroudj\\\" network is proposed in this work. The common steganalysis process is followed using highlight extractors and classifiers. The suspected images are classified with Convolutional Neural Network(CNN) and tested. The accuracy of detecting a steganography image with the proposed network and strategy was around 86.36%. Extracting data from images that used steganography tools like Xiao and Open puff are tested using the yedroudj network by detecting the steganography information.\",\"PeriodicalId\":114335,\"journal\":{\"name\":\"2022 10th International Symposium on Digital Forensics and Security (ISDFS)\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 10th International Symposium on Digital Forensics and Security (ISDFS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDFS55398.2022.9800800\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Symposium on Digital Forensics and Security (ISDFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDFS55398.2022.9800800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accurate steganalysis is required for extracting secret data hidden using different steganographic techniques. A steganalysis technique using the "Yedroudj" network is proposed in this work. The common steganalysis process is followed using highlight extractors and classifiers. The suspected images are classified with Convolutional Neural Network(CNN) and tested. The accuracy of detecting a steganography image with the proposed network and strategy was around 86.36%. Extracting data from images that used steganography tools like Xiao and Open puff are tested using the yedroudj network by detecting the steganography information.