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

被引:80
|
作者
Gao, Suo [1 ]
Wu, Rui [1 ]
Wang, Xingyuan [2 ]
Wang, Jin [1 ]
Li, Qi [2 ]
Wang, Chunpeng [3 ]
Tang, Xianglong [1 ]
机构
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China
[2] Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian 116026, Peoples R China
[3] Qilu Univ Technol, Shandong Acad Sci, Sch Cyber Secur, Jinan 250353, Peoples R China
基金
中国国家自然科学基金;
关键词
Chaos; Semi-tensor product; Image encryption; 3D Model; SEMI-TENSOR PRODUCT; GENETIC ALGORITHM; IMAGE;
D O I
10.1016/j.sigpro.2022.108745
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:13
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