Novel Algorithms to Steganalysis of Uncompressed and Compressed Images

Author

Thom, Ho Thi Huong ; Ho Van Canh ; Tien, Trinh Nhat

Author_Institution

Fac. of Inf. Technol., Hai Phong Private Univ., Hai Phong, Vietnam

fYear

2009

fDate

13-17 Oct. 2009

Firstpage

87

Lastpage

92

Abstract

A large number of commercial steganographic programs use the least significant bit (LSB) embedding as the method of choice for message hiding in 24-bit, 8-bit color images and grayscale images or non-zero DCT coefficients (compressed images - JPEG images) and DWT coefficients of high subbands (compressed images - JPEG2000 images). It is commonly believed that changes to the LSBs of colors (or DCT coefficients) cannot be detected due to noise that is always present in digital images. In this paper, we introduce two novel methods of steganalysis that can detect LSB embedding reliably in both spatial domain and frequency domain. Methods of statistical estimation and statistical hypothesis test are applied for our problem.

Keywords

data compression; discrete cosine transforms; discrete wavelet transforms; image coding; statistical testing; steganography; DWT coefficients; JPEG2000 images; color images; compressed images; grayscale images; least significant bit embedding; message hiding; nonzero DCT coefficients; statistical estimation; statistical hypothesis test; steganalysis; steganographic programs; uncompressed images; Color; Colored noise; Digital images; Discrete cosine transforms; Discrete wavelet transforms; Frequency domain analysis; Gray-scale; Image coding; Steganography; Transform coding; LSB; Steganography; cover-image; steganalysis; stego-image;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge and Systems Engineering, 2009. KSE '09. International Conference on

Conference_Location

Hanoi

Print_ISBN

978-1-4244-5086-2

Electronic_ISBN

978-0-7695-3846-4

Type

conf

DOI

10.1109/KSE.2009.21

Filename

5361726