Title :
A special detector for the edge adaptive image steganography based on LSB matching revisited
Author :
Zhenhao Zhu ; Tao Zhang ; Baoji Wan
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
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.
Keywords :
image coding; image matching; security of data; steganography; EA-LSBMR steganography; LSB matching revisited; PVD histogram; cover image; edge adaptive image steganography; least-significant-bit matching revisited; pixel value difference histogram; secret message embedding; security; sharper edge region; steganalytic method; steganalyzer; stego-image; Conferences; Feature extraction; Histograms; Image edge detection; Multimedia communication; Security; Unsolicited electronic mail;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6564938