多层非线性转换框架及其在轻量级图像加密中的演示
Cemile İnce1, Kenan İnce2, Davut Hanbay1
1Department of Computer Engineering, İnönü University, Malatya 44280, Türkiye.
Entropy (Basel, Switzerland)
|October 25, 2024
概括
本研究介绍了一种新的轻量级图像加密方法,使用非线性矩阵排列和混乱地图. 它为移动和物联网等资源有限的设备提供了强大的安全性,在单次代中实现了高性能.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 密码学 密码学 密码学 密码学
背景情况:
- 数据安全在广泛的信息系统中至关重要,尤其是多媒体数据.
- 传统的加密与图像/视频作斗争,需要专门的方法.
- 由于资源限制,轻量级的图像加密对于移动和物联网 (IoT) 设备至关重要.
研究的目的:
- 为轻量级图像加密开发一种新的非线性矩阵排列方法.
- 通过混沌地图的组合,增强混和扩散阶段.
- 为资源有限的环境提供安全高效的加密框架.
主要方法:
- 为图像加密开发了一种非线性矩阵排列技术.
- 三个混乱地图 (2D Zaslavsky, 1D Chebyshev, 1D logistic) 用于生成 permutation 和扩散序列.
- 拟议的方案是通过SIPI数据集中的14张彩色图像进行评估的.
主要成果:
- 该方法实现了高性能,在单次代中处理每个图像.
- 关键性能指标包括高平均NPCR (99.6122) 和UACI (33.4690).
- 低的平均相关性 (0.0006) 和高的信息 (7.9993) 表明具有大键空间 (2^800) 的强有力的安全性.
结论:
- 提出的非线性矩阵排列方法对于轻量级图像加密是有效的.
- 它为在移动和物联网设备上保护图像提供了强大的和高效的替代方案.
- 混沌地图的和使用为多媒体数据提供了强大的安全基础.
相关概念视频
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There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on the metal...
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on the metal...
01:24Convolution: Math, Graphics, and Discrete Signals
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
01:20Convolution Properties I
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
01:17Convolution Properties II
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...