Reliable detection of LSB steganography in color and grayscale images

By Jessica J. Fridrich, Miroslav Goljan, Rui Du. Workshop on Multimedia & Security, 2001

724 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/bd65b1ab40da6b9a8fc44d3869950d0c7e4e6300

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Jiwu Huang
2. Bin Li
3. Andrew D. Ker
4. Nan-I Wu
5. Chwei-Shyong Tsai
6. Min-Shiang Hwang
7. Y. Shi
8. Junhui He

Citations in the corpus

• SteganoGAN: High Capacity Image Steganography with GANs (2019, methodology): “We use a popular open-source steganalysis tool called StegExpose (Boehm, 2014) which combines several existing steganalysis techniques including Sample Pairs (Du-mitrescu et al., 2003), RS Analysis (Fridrich et al., 2001), Chi Squared Attack (Westfeld & Pfitzmann, 2000), and Primary Sets (Dumitrescu ”
• Detection of LSB steganography via sample pair analysis (2002, methodology): “Our detection algorithm for LSB steganography is compared with the RS method of [2], which is the most accurate and robust LSB steganalytic algorithm in the literature.”
• A steganographic method for images by pixel-value differencing (2003, methodology): “The dual statistics methods proposed by Fridrich et al. (2001) can be employed to detect the existence of LSB steganography in images.”
• Improved Detection of LSB Steganography in Grayscale Images (2004, methodology): “Here the image is sectioned into groups of pixels; the size of the group is variable but in [4] it is either a four-by-one horizontal rectangle, or a two-by-two square.”
• A Survey on Image Steganography and Steganalysis (2011, methodology): “The quantitative analysis of LSB steganography was firstly addressed by Fridrich et al. [14] Their method is well known as RS analysis.”
• A high quality steganographic method with pixel-value differencing and modulus function (2008, methodology): “005 bits per pixel, the RS steganalytic algorithm is completely ineffective (Fridrich et al., 2001; Ker, 2004).”