椭圆曲线密码(ECC)中基于相位检索的图像加密算法的设计与实现

Reena Hooda, Himanhu, Vikas Poply
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引用次数: 0

摘要

各个领域对数字化图像的巨大需求使得保护图像免受攻击者的攻击成为网络安全传输的必要条件。由于它们的敏感性,医疗和刑事调查中使用的敏感照片被认为具有最高的质量。现代加密技术只是扩展了为灰度照片开发的加密技术,而不是专门为彩色图像创建的加密技术。为了处理医学和法医应用中使用的彩色图像,设计了一种多层混合方法,并将其称为混合多层“超混沌超椭圆曲线图像加密(HHH)”技术。第一层采用基于超混沌的DNA加密产生混沌序列。图像通常包含非常私人和敏感的信息。由于图像在许多情况下至关重要,例如“军事通信,目标跟踪和医学图像处理”,因此保护敏感和秘密信息免受未经授权的使用和修改至关重要。加密是为实现这一目标而隐藏信息的最佳方法之一。近年来,研究人员创造了各种各样的图像加密技术。为了提高安全性,他们采用了几个图片加密的概念。为了增强密码系统的完整性,替换置换提高了混乱传播的程度。对本研究进行了二次分析,收集了与本课题相关的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
To Design & Implement the Image Encryption Algorithm, using Phase Retrieval in Elliptic Curve Cryptography (ECC)
The excessive demand for digitized images across all fields has made it necessary to safeguard the images from attackers for secure network transfer. Due to their sensitivity, sensitive photographs used in medical and criminal investigations are assumed to be of the highest quality. Modern encryption techniques simply expand the one developed for grayscale photos rather than being specifically created for colour images. To handle colour images utilized in medical and forensic applications, a multi-layered hybrid approach has been devised and given the term Hybrid multi-layered “Hyper-chaotic Hyper-elliptic curve-based image encryption (HHH)” technique. DNA encryption based on hyper chaos is used in the first layer to produce chaotic sequences. Images often hold very private and sensitive information. Since images are crucial in many situations, such as “military communication, object tracking, and medical image processing, protecting sensitive and secret information” from unauthorized use and modification is essential. Encryption is one of the greatest methods for concealing information for reaching this objective. In recent years, researchers have created a variety of techniques for image encryption. To boost security, they employ several picture encryptions concepts. To strengthen the integrity of the crypto system, substitution permutation raises the level of confusion dissemination. Secondary analysis has been done for this research to gather relevant information related to this topic.
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