基于混沌映射图像篡改检测的脆弱水印方案

提出了一种新的基于混沌的图像认证和篡改检测的水印方案，该方案可以检测对图像所做的任何修改，还可确定修改的具体位置。为了提高所提出方案的安全性，采用了两个混沌映射，由于混沌映射对初始值敏感，水印图像中的像素与水印之间的对应位置关系受到干扰，使水印方案能够抵抗伪造攻击。在方案中混沌映射的初始值被用作秘密密钥，通过一系列的攻击检查所提出方案的有效性。实验结果表明，该方案不仅安全可靠，而且在不同的攻击下均能获得较高的篡改检测和定位精度。

Fragile Watermarking Scheme for Image Tampering Detection Based on Chaotic System

In this paper, a new watermarking scheme based on Chaos for image authentication and tamper detection is proposed. This scheme can detect any modification to the image and determine the specific location of the modification. In order to improve the security of the proposed scheme, two chaotic maps are used. Because the chaotic map is sensitive to the initial value, the corresponding position relationship between the pixels in the watermarking image and the watermarking is disturbed, which makes the watermarking scheme resist forgery attack. In this scheme, the initial value of the chaotic map is used as the secret key, and the effectiveness of the proposed scheme is checked through a series of attacks. The experimental results show that the scheme is not only safe and reliable, but also can achieve high tamper detection and location accuracy under different attacks.