Abstract
This paper presents an efficient authentication method for JPEG images based on Genetic Algorithms (GA). The current authentication methods for JPEG images require the receivers to know the quantization table beforehand in order to authenticate the images. Moreover, the quantization tables used in the JPEG compression are different for different quality factors, thus increasing the burden on the receivers to maintain several quantization tables. We propose a novel GA-based method which possesses three advantages. First, the computation at the receiver end is simplified. Second, it is no more required for the receivers to maintain quantization tables. Third, the method is resistant against Vector Quantization (VQ) and Copy-Paste (CP) attacks by generating the authentication information which is unique with respect to each block and each image. Furthermore, we develop a two- level detection strategy to reduce the false acceptance ratio of invalid blocks. Experimental results show that the proposed GA-based method can successfully authenticate JPEG images under variant attacks.
Highlights
Digital images are transmitted more often over the Internet than ever before
We propose a Genetic Algorithms (GA)-based method that can adjust the image such that the modified image after JPEG compression contains the authentication information in the Discrete Cosine Transform (DCT) coefficients of each block to authenticate the image
Authentication of JPEG Images based on Genetic Algorithms Table 2: Peak Signal-to-Noise Ratio (PSNR) Values for Watermarked Images
Summary
Digital images are transmitted more often over the Internet than ever before. free-access digital multimedia communication provides virtually unprecedented opportunities to pirate copyrighted material. One way of achieving tamper localization is dividing the image into blocks and sending the digital signature associated with each block to the receiver Ho and Li [7] proposed a semi-fragile watermarking scheme for authentication of JPEG images using nine-neighborhood block consideration to provide block dependency. This scheme is tolerant to JPEG compression to a pre-determined lowest quality factor. We propose a GA-based method that can adjust the image such that the modified image after JPEG compression contains the authentication information in the DCT coefficients of each block to authenticate the image.
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