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Adaptive optimalmulti key based encryption for digital image security

机译:基于自适应最优多密钥的加密技术可实现数字图像安全

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摘要

The security of digital images is an essential and challenging task on shared communication Model. Generally, high secure working environment and data are also secured with an encryption and decryption method by using secret and public keys. In this paper, the innovative encryption technique for image security, ie, Multiple key-based Homomorphic Encryption (MHE) technique is proposed. For increasing the security level of encryption and decryption processes, the optimal key is selected using Adaptive Whale Optimization (AWO) algorithm. Fitness function was considered for optimization as PSNR of plain and cipher images. The original image was transformed into blocks and then rearranged utilizing encryption process, this work achieved maximum security, much better than other encryption techniques. From the outcomes, one can achieve incredible quality of the proposed model, the maximum PSNR, and the minimum MSE contrasted with other encryption schemes.
机译:在共享通信模型上,数字图像的安全性是一项至关重要且具有挑战性的任务。通常,还通过使用秘密和公共密钥的加密和解密方法来保护高安全性的工作环境和数据。本文提出了一种新颖的图像安全加密技术,即基于多密钥的同态加密(MHE)技术。为了提高加密和解密过程的安全级别,使用自适应鲸鱼优化(AWO)算法选择最佳密钥。考虑使用适应度函数进行优化,将其作为纯图像和密码图像的PSNR。原始图像被转换成块,然后利用加密过程进行重新排列,这项工作获得了最大的安全性,比其他加密技术要好得多。从结果可以看出,与其他加密方案相比,该模型可以实现令人难以置信的质量,最大的PSNR和最小的MSE。

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