设计和分析一个安全的图像加密算法,使用拟议的非线性RN混乱系统和ECC/HKDF关键导出与认证支持
He Zhiqiang1, Abdul Rauf2, Arif Nazir2
1School of Modern Information Industry, Guangzhou College of Commerce, Guangzhou, China.
Scientific reports
|November 14, 2025
概括
本研究介绍了一种用于安全图像加密的新型混乱系统,增强了网络环境中强大的数字安全的不可预测性和关键灵敏性. 该方法可确保对监控等应用程序进行高效和安全的图像传输.
科学领域:
- 计算机科学 计算机科学
- 密码学 密码学 密码学
- 信息安全 信息安全
背景情况:
- 数字图像安全性在边缘计算和网络通信中至关重要.
- 现有的混乱加密系统在混乱范围和密钥灵敏度方面面临限制.
- 需要对图像数据进行强大,轻量化和实时加密方法.
研究的目的:
- 引入一个强大的非线性RN混乱系统,以提高不可预测性和混乱间隔.
- 使用RN混乱系统与先进的加密技术开发一个快速的图像加密方案.
- 增强数字图像安全性,防止现代计算环境中的各种攻击.
主要方法:
- 结合了两个混乱地图,创建了一个强大的非线性RN混乱系统.
- 整合了RN混乱系统与圆曲线的Diffie-Hellman (ECDH) 密钥交换,层次的密钥导出 (HKDF) 和动态的S盒生成.
- 实现了纯文本独立的密钥生成,ECDSA认证和HMAC-SHA256的完整性.
主要成果:
- 达到了接近理想的值 (~7.999),高的NPCR (>99.61%) 和UACI (>32%).
- 展示了强大的图像复杂性,键空间为10^256,高灵敏度和随机性.
- 显示低PSNR值和有限的相关性,表明对统计和差异性攻击的弹性.
结论:
- 拟议的RN混乱系统和加密方案提供了卓越的不可预测性和安全性.
- 该方法为安全的图像传输提供了可靠,便携和高效的解决方案.
- 在计算可靠性,加密强度和抗攻击性方面优于现有方法.
相关概念视频
01:19Routh-Hurwitz Criterion II
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In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
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01:26Linear Approximation in Frequency Domain
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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
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01:26Classification of Systems-I
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
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01:29Application of Nonlinear Inequalities
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A nonlinear inequality describes a comparison involving an expression that curves or behaves more complexly than a straight line. These inequalities often appear in forms that include squares, products, or variables in the denominator.To solve such an inequality, one starts by rewriting it so that zero appears on one side. For example, the inequality: can be factored as: This form makes it easier to identify the values that cause the expression to equal zero. In this case, the...
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01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
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01:31Classification of Systems-II
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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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