论文标题
使用遗传算法优化文本加密的新型混沌系统
A Novel Chaotic System for Text Encryption Optimized with Genetic Algorithm
论文作者
论文摘要
随着通信系统和数据存储技术中的气象发展，对安全数据传输的需求比以往任何时候都更为重要。任何密码系统提供的安全级别都取决于私钥的灵敏度，密钥空间的大小以及所使用的陷阱功能。为了满足上述约束，在过去几年中，人们一直在研究混乱系统的行为及其在各个领域的应用，例如由于特征，诸如随机性，不可预测性和对初始值及其参数的生成序列的敏感性等特征所致。本文利用了一种新型的2D混沌函数，该功能在大量参数上显示出均匀的分叉，并显示出高水平的混沌行为来生成一个随机序列，该序列用于加密输入数据。提出的方法使用遗传算法来优化地图的参数，以增强任何给定文本数据的安全性。各种分析表明了一个充分的钥匙空间，并且存在多个全局最佳空间，表明所提出的系统的必要性及其提供的安全性。
With meteoric developments in communication systems and data storage technologies, the need for secure data transmission is more crucial than ever. The level of security provided by any cryptosystem relies on the sensitivity of the private key, size of the key space as well as the trapdoor function being used. In order to satisfy the aforementioned constraints, there has been a growing interest over the past few years, in studying the behavior of chaotic systems and their applications in various fields such as data encryption due to characteristics like randomness, unpredictability and sensitivity of the generated sequence to the initial value and its parameters. This paper utilizes a novel 2D chaotic function that displays a uniform bifurcation over a large range of parameters and exhibits high levels of chaotic behavior to generate a random sequence that is used to encrypt the input data. The proposed method uses a genetic algorithm to optimize the parameters of the map to enhance security for any given textual data. Various analyses demonstrate an adequately large key space and the existence of multiple global optima indicating the necessity of the proposed system and the security provided by it.
