Analisa Metode MGR Untuk Mendeteksi Keaslian Citra Digital

Rani Aflisa Zay, Mesran Mesran
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Abstract

Digital image processing is an important part that underlies various real applications, such as pattern recognition, remote sensing via satellite or aircraft, and machine vision. In pattern recognition, digital image processing plays a role in separating objects from the background automatically. Almost all applications of information technology use cryptography as a tool to ensure the security and confidentiality of data or information. Because of this, cryptography has become a rapidly growing science and in a short time many new algorithms have emerged which are considered superior to their predecessor algorithms. To see the authenticity of digital images we use the MGR algorithm. MGR hash function based on its design security. Protected against multicollision attacks, fixed point attacks, extension attack lengths and herd attacks and provides better efficiency (three times faster) than GOST-R. AES such as block ciphers have been used in compression design. The MGR function due to AES is one of the most efficient and cipher-secure blocks and has been evaluated for more than 12 years
MGR方法分析,以检测数字图像的真实性
数字图像处理是各种实际应用的重要组成部分,例如模式识别,通过卫星或飞机进行遥感以及机器视觉。在模式识别中,数字图像处理起着将目标与背景自动分离的作用。几乎所有的信息技术应用都使用密码学作为工具来确保数据或信息的安全性和保密性。正因为如此,密码学已经成为一门快速发展的科学,在很短的时间内出现了许多新的算法,这些算法被认为比以前的算法优越。为了验证数字图像的真实性,我们使用了MGR算法。基于MGR哈希函数的安全性设计。防止多重碰撞攻击、定点攻击、扩展攻击长度和群体攻击,并提供比GOST-R更好的效率(快三倍)。分组密码等AES已被用于压缩设计。由于AES而产生的MGR函数是最有效和密码安全的块之一,并且已经被评估了超过12年
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