{"title":"重新研究了一种基于LSB匹配的边缘自适应图像隐写专用检测器","authors":"Zhenhao Zhu, Zhang Tao, Baoji Wan","doi":"10.1109/ICCA.2013.6564938","DOIUrl":null,"url":null,"abstract":"Based on the analysis of the pixel value difference (PVD) histograms of the cover and stego-images, a special steganalyzer is proposed for the edge adaptive image steganography based on least-significant-bit matching revisited (EA-LSBMR). The EA-LSBMR steganography utilizes the sharper edge regions within the cover images to embed the secret message firstly, which achieves a higher security. However, there exists unavoidable weakness: abnormal increasing at some position of the PVD histogram. The special steganslytic method is designed using the weakness of the EA-LSBMR steganography. Extensive experimental results show that the proposed method can defeat the EA-LSBMR steganography effectively.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"A special detector for the edge adaptive image steganography based on LSB matching revisited\",\"authors\":\"Zhenhao Zhu, Zhang Tao, Baoji Wan\",\"doi\":\"10.1109/ICCA.2013.6564938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the analysis of the pixel value difference (PVD) histograms of the cover and stego-images, a special steganalyzer is proposed for the edge adaptive image steganography based on least-significant-bit matching revisited (EA-LSBMR). The EA-LSBMR steganography utilizes the sharper edge regions within the cover images to embed the secret message firstly, which achieves a higher security. However, there exists unavoidable weakness: abnormal increasing at some position of the PVD histogram. The special steganslytic method is designed using the weakness of the EA-LSBMR steganography. Extensive experimental results show that the proposed method can defeat the EA-LSBMR steganography effectively.\",\"PeriodicalId\":336534,\"journal\":{\"name\":\"2013 10th IEEE International Conference on Control and Automation (ICCA)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 10th IEEE International Conference on Control and Automation (ICCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCA.2013.6564938\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th IEEE International Conference on Control and Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2013.6564938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A special detector for the edge adaptive image steganography based on LSB matching revisited
Based on the analysis of the pixel value difference (PVD) histograms of the cover and stego-images, a special steganalyzer is proposed for the edge adaptive image steganography based on least-significant-bit matching revisited (EA-LSBMR). The EA-LSBMR steganography utilizes the sharper edge regions within the cover images to embed the secret message firstly, which achieves a higher security. However, there exists unavoidable weakness: abnormal increasing at some position of the PVD histogram. The special steganslytic method is designed using the weakness of the EA-LSBMR steganography. Extensive experimental results show that the proposed method can defeat the EA-LSBMR steganography effectively.