Steganalysis of JPEG Images: Breaking the F5 Algorithm

523 citations recorded by the source corpus.

How researchers see this paper

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

Detection of Double-Compression in JPEG Images for Applications in Steganography (2008, methodology): “estimates obtained by calibration [4], [5] followed by simulated double-compression.”
An improved approach to steganalysis of JPEG images (2010, methodology): “presented a method to estimate the cover histogram from the stego-image [6].”
Digital image forensics via intrinsic fingerprints (2008, background): “Further, the estimates are shown to be robust to moderate levels of postprocessing operations, such as JPEG compression, and white balancing done inside the cameras [33].”
A Survey on Image Steganography and Steganalysis (2011, methodology): “This drawback is employed by Fridrich et al.[62] to launch an attack against F5.”
Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT (2015, unknown): “The concept of calibration, for the first time introduced in the targeted quantitative attack on the F5 algorithm [9], formally consists of computing the undecimated DTC, subsampling it on an 8×8 grid shifted by four pixels in each direction, and computing a reference feature vector from the subsamp”
Estimation of Primary Quantization Matrix in Double Compressed JPEG Images (2003, methodology): “For some steganalytic methods [4],[5], it is very important to estimate the primary quantization matrix to facilitate accurate and reliable steganalysis.”