School of Computer Science and Engineering, Northeastern University, Shenyang, China.
School of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri, United States of America.
PLoS One. 2023 Sep 28;18(9):e0291759. doi: 10.1371/journal.pone.0291759. eCollection 2023.
Preventing unauthorized access to sensitive data has always been one of the main concerns in the field of information security. Accordingly, various solutions have been proposed to meet this requirement, among which encryption can be considered as one of the first and most effective solutions. The continuous increase in the computational power of computers and the rapid development of artificial intelligence techniques have made many previous encryption solutions not secure enough to protect data. Therefore, there is always a need to provide new and more efficient strategies for encrypting information. In this article, a two-way approach for information encryption based on chaos theory is presented. To this end, a new chaos model is first proposed. This model, in addition to having a larger key space and high sensitivity to slight key changes, can demonstrate a higher level of chaotic behavior compared to previous models. In the proposed method, first, the input is converted to a vector of bytes and first diffusion is applied on it. Then, the permutation order of chaotic sequence is used for diffusing bytes of data. In the next step, the chaotic sequence is used for applying second diffusion on confused data. Finally, to further reduce the data correlation, an iterative reversible rule-based model is used to apply final diffusion on data. The performance of the proposed method in encrypting image, text, and audio data was evaluated. The analysis of the test results showed that the proposed encryption strategy can demonstrate a pattern close to a random state by reducing data correlation at least 28.57% compared to previous works. Also, the data encrypted by proposed method, show at least 14.15% and 1.79% increment in terms of MSE and BER, respectively. In addition, key sensitivity of 10-28 and average entropy of 7.9993 in the proposed model, indicate its high resistance to brute-force, statistical, plaintext and differential attacks.
防止未经授权访问敏感数据一直是信息安全领域的主要关注点之一。因此，已经提出了各种解决方案来满足这一要求，其中加密可以被认为是最早和最有效的解决方案之一。计算机计算能力的不断提高和人工智能技术的快速发展使得许多以前的加密解决方案不足以保护数据的安全。因此，总是需要提供新的和更有效的策略来加密信息。在本文中，提出了一种基于混沌理论的双向信息加密方法。为此，首先提出了一种新的混沌模型。与以前的模型相比，该模型除了具有更大的密钥空间和对密钥细微变化的高度敏感性外，还可以表现出更高水平的混沌行为。在所提出的方法中，首先将输入转换为字节向量，并首先对其进行扩散。然后，使用混沌序列的置换顺序对数据的字节进行扩散。在下一个步骤中，使用混沌序列对混淆数据应用二次扩散。最后，为了进一步降低数据相关性，使用基于迭代可逆规则的模型对数据应用最终扩散。评估了所提出的方法对图像、文本和音频数据的加密性能。测试结果的分析表明，与以前的工作相比，通过减少数据相关性，所提出的加密策略可以表现出至少 28.57%接近随机状态的模式。此外，所提出的方法加密的数据在 MSE 和 BER 方面分别至少增加了 14.15%和 1.79%。此外，在提出的模型中，密钥灵敏度为 10-28，平均熵为 7.9993，表明其对暴力、统计、明文和差分攻击具有很高的抵抗力。
