DocumentCode :
2613455
Title :
"Stego-Analysis Chain, Session Two" Novel Approach of Stego-Analysis System for Image File
Author :
Naji, A.W. ; Hameed, Shihab A. ; Islam, Md Rafiqul ; Zaidan, B.B. ; Gunawan, Teddy S. ; Zaidan, A.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
fYear :
2009
fDate :
17-20 April 2009
Firstpage :
410
Lastpage :
413
Abstract :
Stenography systems has too many approaches, it has a lot of applications and different ways, too many type of attackers have been tried to attacked the information that already embed in the carrier, however there is not yet a real stego- analysis system offered, the goal of this chain is to have too many investigations on the stego analysis systems, this paper will focus on the image file, the earlier tests showing that we may use the histogram habits to classify the image in to image carried data hidden and original image, the study will focus in to two main idea, the first idea, on the colour image, the colour start become grouping parallel with the increasing of the data hidden and the second feature on the gray level image, the histogram in the original image was pure without colours, after the embedding method has been applied there are many colour start to appears as shown down in the histogram, we will try through this paper to offer a new stego-analysis system though study the habits of the histogram.
Keywords :
image colour analysis; steganography; colour image; embedding method; gray level image; histogram habits; image carried data hidden; image file; stego-analysis chain; stego-analysis system; stenography systems; Conselmet Methodes; Hidden Data; Steganography; Steganography Attackers; Stego-Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology - Spring Conference, 2009. IACSITSC '09. International Association of
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3653-8
Type :
conf
DOI :
10.1109/IACSIT-SC.2009.104
Filename :
5169383
Link To Document :
بازگشت