Title :
Determining the stego algorithm for JPEG images
Author :
Pevny, Tomas ; Fridrich, Jessica
Author_Institution :
Dept. of Comput. Sci., State Univ. of New York Binghamton, NY
Abstract :
The goal of forensic steganalysis is to detect the presence of embedded data and to eventually extract the secret message. A necessary step towards extracting the data is determining the steganographic algorithm used to embed the data. In the paper, we construct blind classifiers capable of detecting steganography in JPEG images and assigning stego images to six popular JPEG embedding algorithms. The classifiers are support vector machines that use 23 calibrated DCT feature calculated from the luminance component
Keywords :
cryptography; data compression; discrete cosine transforms; image coding; support vector machines; JPEG images; blind classifiers; calibrated DCT feature; embedded data detection; forensic steganalysis; secret message extraction; steganography; support vector machines;
Journal_Title :
Information Security, IEE Proceedings
