General Chaos Implementation as a Construction Element of Primitive Cryptography

In recent years, the development of Industry 4.0 has accelerated. In their implementation, various primitive cryptography methods such as block cipher, stream cipher, hash function, and pseudo-random number generator are used in this development. These primitive cryptography algorithms, for example, are used in Internet of Things technology to improve security, as well as in cloud computing technology to improve security. Furthermore, hash functions are heavily used as primitive cryptography in blockchain technology to provide the necessary security services. To provide good results in their implementation, the primitive cryptography algorithms used must have good properties. The confusion and diffusion properties of an encryption algorithm can help determine whether or not it is good. If the confusion and diffusion properties are good, the results of their implementation will be good as well. Chaos functions, which have deterministic but chaotic properties, are suitable for designing primitive cryptography algorithms with good confusion and diffusion properties. In this paper, a general implementation of chaos functions is proposed as a building block of primitive cryptography algorithms. The proposed general implementation of chaos will be evaluated based on its confusion and diffusion properties using various chaos functions to ensure that if this proposal is used in the construction of cryptographic algorithms, it will produce algorithms with good confusion and diffusion properties. The evaluation results indicate that the proposed algorithm exhibits good confusion and diffusion characteristics and has a linear time complexity.