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A secure image encryption algorithm based on fractional transforms and scrambling in combination with multimodal biometric keys

机译:一种基于分数变换的安全图像加密算法和争吵与多模式生物键组合

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摘要

In today's digital world, security is a preeminent element in the transmission of digital images. In this paper, image encryption algorithm is proposed using fractional transform and scrambling along with multimodal biometric keys. For unauthorized persons, it is very difficult to retrieve the biometric keys. Firstly, both iris and fingerprint binary codes are XORed and given to the original image. This randomized image is secured using fractional order as a key. The significant feature of fractional transforms benefits from its extra degree of freedom that is provided by its fractional orders. The fractional order is calculated from the iris key. To make the encryption more confusing, scrambling is used to shuffle the position of pixels. Experimental results like histogram analysis, correlation analysis, peak signal-to-noise ratio, mean square error, structural similarity index measure, spectral distortion, information entropy, key sensitivity analysis, differential attacks and spoofing attacks verify the efficacy of proposed algorithm.
机译:在今天的数字世界中,安全是数字图像传输中的卓越元素。在本文中,使用分数变换和加扰的图像加密算法以及多模级生物识别键。对于未经授权的人来说,难以检索生物识别键。首先,虹膜和指纹二进制代码都是XORATE的,并给予原始图像。使用分数顺序作为键固定该随机图像。分数转变的重要特征与其分数订单提供的额外自由度受益。分数顺序由虹膜键计算。为了使加密更加令人困惑,争抢用于破坏像素的位置。实验结果如直方图分析,相关分析,峰值信噪比,均方误差,结构相似度指标测量,光谱失真,信息熵,关键敏感性分析,差异攻击和欺骗攻击验证了所提出的算法的功效。

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