首页> 外文期刊>International journal of computer science and network security >A Tamper Proof Noise Resilient End to End Image based Authentication System over Wireless Transmission with AWGN Channel using Wavelet based Templates and AES
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A Tamper Proof Noise Resilient End to End Image based Authentication System over Wireless Transmission with AWGN Channel using Wavelet based Templates and AES

机译:使用基于小波的模板和AES的AWGN信道无线传输上的防篡改噪声弹性端到端基于图像的身份验证系统

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Introduction of 3G wireless communication systems, together with the invasive distribution of digital images and the growing concern on their originality triggers an emergent need of authenticating images received by unreliable channels, such as public Internet and wireless networks. To meet this need, a content-based image authentication scheme that is suitable for an insecure network and robust to transmission errors is proposed. The proposed scheme exploits the scalability of a structural digital signature in order to achieve a good tradeoff between security and image transfer for networked image applications. In this scheme, multi-scale features extracted from wavelet transform are used to make digital signatures robust to image degradations and key-dependent parametric wavelet filters are employed to improve the security against forgery attacks. Features are irrevocable i.e; Image cannot be reconstructed from the given features. We also use AES based encryption of the image data. The scheme is tested with baseband modulation, AWGN (Additive White Gaussian Noise) noise and random tampering. No explicit error correction code is implemented. We use weighted sum decoder, this scheme is also able to distinguish tampering areas in the attacked image. Experimental results show the robustness and validity of the proposed scheme.
机译:3G无线通信系统的引入,加上数字图像的侵入式分布以及对它们的独创性的日益关注,引发了对认证不可靠通道(例如公共Internet和无线网络)接收的图像的紧急需求。为了满足该需求,提出了一种基于内容的图像认证方案,该方案适用于不安全的网络并且对传输错误具有鲁棒性。所提出的方案利用结构性数字签名的可伸缩性,以在网络图像应用的安全性和图像传输之间实现良好的折衷。在该方案中,从小波变换中提取的多尺度特征用于使数字签名对图像退化具有鲁棒性,并且采用密钥相关的参数小波滤波器来提高抵抗伪造攻击的安全性。功能是不可撤销的,即;无法从给定的特征重建图像。我们还使用基于AES的图像数据加密。该方案已通过基带调制,AWGN(加性高斯白噪声)噪声和随机篡改进行了测试。没有实现明确的错误纠正代码。我们使用加权和解码器,该方案还能够区分被攻击图像中的篡改区域。实验结果表明了该方案的鲁棒性和有效性。

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