@inproceedings{5830ac261ac74b1cb43aa466b9b16bad,
title = "LSB steganalysis using support vector regression",
abstract = "We describe a method of detecting the existence of messages, which are randomly scattered in the least significant bits (LSB) of both 24-bit RGB color and 8-bit grayscale images. The method is based on gathering and inspecting a set of image relevant features from the pixel groups of the stego-image, whose similarities and correlations change with different ratios of LSB embedding. The proposed detection scheme is based on Support Vector Regression (SVR). It is shown that the measurement of a selected set of features forms a multidimensional feature space which allows estimation of the length of hidden messages embedded in the LSB of cover-images with high precision.",
keywords = "Information detection, SVM, Steganalysis",
author = "Erwei Lin and Edward Woertz and Moshe Kam",
year = "2004",
language = "English (US)",
isbn = "0780385721",
series = "Proceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC",
pages = "95--100",
booktitle = "Proceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC",
note = "Proceedings fron the Fifth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC ; Conference date: 10-06-2004 Through 11-06-2004",
}