南京师大学报（自然科学版）2025，Vol.48Issue(6)：58-69,12.DOI:10.3969/j.issn.1001-4616.2025.06.007
基于超混沌系统的实景三维模型数据选择性加密算法
Selective Encryption Algorithm for Real-Scene 3D Model Data Based on Hyperchaotic System
摘要
Abstract
As an essential carrier of geospatial information,real-scene 3D model data plays a vital role in smart city construction and related fields due to its capability of mapping real-world environments.However,data security protection has become an increasingly critical issue.A selective encryption algorithm for real-scene 3D model data based on hyperchaotic system is proposed.Leveraging the hyperchaotic system's sensitivity to initial conditions and trajectory reproducibility,the algorithm performs spatial partitioning and multi-level perturbation encryption on the model data.By adjusting key parameters to control the encryption regions and intensity,a refined and tunable encryption strategy is achieved.Experimental results demonstrate that the proposed method maintains model usability while exhibiting strong resistance against analysis and attacks,with low computational overhead.It is suitable for scenarios requiring both high security and flexibility in 3D model data applications.关键词
实景三维/超混沌系统/选择性加密/动态加解密Key words
real-scene 3D/hyperchaotic system/selective encryption/dynamic encryption and decryption分类
天文与地球科学引用本文复制引用
Wang Dan,Gu Jinjie,Ren Na,Zhu Changqing..基于超混沌系统的实景三维模型数据选择性加密算法[J].南京师大学报（自然科学版）,2025,48(6):58-69,12.基金项目
江苏省自然资源厅科技项目(JSZRKJ202405). （JSZRKJ202405）
