A 3D model encryption scheme based on a cascaded chaotic system

With the birth of the metaverse, 3D models have received extensive attention, and the security of in-formation transmission continues to be an important issue. In this paper, we propose a 3D model en-cryption method based on a 2D chaotic system constructed via the coupling of the logistic map and infinite collapse (2D-LAIC) and on semi-tensor product (STP) theory. In terms of Lyapunov exponents, NIST test results, bifurcation diagrams, etc., 2D-LAIC exhibits better dynamical behavior than classical chaotic systems. 2D-LAIC can generate an unpredictable keystream, which is highly suitable for cryptog-raphy. Therefore, we propose a new 3D model encryption algorithm based on 2D-LAIC, named 3DME-SC. For a 3D model of the floating-point data type, XOR and STP processing are applied to the integer part and fractional part, respectively, of the model to obtain a 3D ciphertext model. The keystream required for XOR and STP processing is generated by 2D-LAIC. The results of a detailed security analysis and a comparative experimental analysis show that 3DME-SC exhibits good performance and effectiveness. (Code: https://github.com/Gao5211996/3D-model-encryption)(c) 2022 Elsevier B.V. All rights reserved.

Automated summary

This paper proposes a 3D model encryption method based on a 2D chaotic system, using 2D-LAIC to generate an unpredictable keystream for encryption. The method is applied to the encryption process of 3D models and has been proven to be secure and effective through security analysis and experimental comparison.