Volume 2776 of the series Lecture Notes in Computer Science pp 395-406
Steganography with Least Histogram Abnormality
- Xinpeng ZhangAffiliated withCommunication & Information Engineering, Shanghai University
- , Shuozhong WangAffiliated withCommunication & Information Engineering, Shanghai University
- , Kaiwen ZhangAffiliated withCommunication & Information Engineering, Shanghai University
Abstract
A novel steganographic scheme is proposed which avoids asymmetry inherent in conventional LSB embedding techniques so that abnormality in the image histogram is kept minimum. The proposed technique is capable of resisting the χ 2 test and RS analysis, as well as a new steganalytic method named GPC analysis as introduced in this paper. In the described steganographic technique, a pair of mutually complementary mappings, F 1 and F − 1, is used, leading to a balanced behavior of several statistical parameters explored by several steganalytic schemes, thus improved security. Experimental results are presented to demonstrate the effectiveness of the method.
- Title
- Steganography with Least Histogram Abnormality
- Book Title
- Computer Network Security
- Book Subtitle
- Second International Workshop on Mathematical Methods, Models, and Architectures for Computer Network Security, MMM-ACNS 2003, St. Petersburg, Russia, September 21-23, 2003. Proceedings
- Pages
- pp 395-406
- Copyright
- 2003
- DOI
- 10.1007/978-3-540-45215-7_34
- Print ISBN
- 978-3-540-40797-3
- Online ISBN
- 978-3-540-45215-7
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- 2776
- Series ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Topics
- Industry Sectors
- eBook Packages
- Editors
-
- Vladimir Gorodetsky (4)
- Leonard Popyack (5)
- Victor Skormin (6)
- Editor Affiliations
-
- 4. St. Petersburg Intitute for Informaticsand Automation
- 5. AFRL/IF
- 6. US Air Force, Binghamton University (SUNYI)
- Authors
-
- Xinpeng Zhang (7)
- Shuozhong Wang (7)
- Kaiwen Zhang (7)
- Author Affiliations
-
- 7. Communication & Information Engineering, Shanghai University, Shanghai, 200072, China
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