A hybrid content-based image authentication scheme

Abstract

In this paper, we propose a hybrid content-based image authentication scheme that integrates two complementary algorithms: Robust content-based authentication and semi-fragile crypto-hash based authentication. The former uses global features and is quite robust against various types of noise. The latter uses local features and therefore is able to identify the tempered area in case the image is attacked. The proposed scheme takes advantage from both algorithms and provides more information to guide the decision maker. In addition, we also propose two improved algorithms based on Fridrich's content-based and Sun's crypto-hash based authentication. Experiments show that the improved algorithms are more secure than the original algorithms. Another contribution of this paper is that, by concatenating the signatures generated with two different authentication algorithms, the fuzzy area in authentication decision can be further quantized, which provides more choices for authentication decision. © Springer-Verlag Berlin Heidelberg 2007.