摘要
实景三维模型数据作为地理空间信息的重要载体,凭借其对真实空间的映射能力在智慧城市建设等领域发挥重要作用,但数据安全防护问题也日益凸显.本文提出一种基于超混沌系统的实景三维模型数据选择性加密算法,利用超混沌系统初值敏感性与轨迹可复现性,对模型数据进行空间分块和多层级扰动加密;通过密钥参数控制加密区域与强度,实现模型的精细化、可调式加密策略.实验结果表明,该方法在保证模型可用性的同时,具备较强的抗分析、抗攻击能力,且计算开销低,适用于对三维模型数据安全性和应用灵活性要求较高的场景.
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.
作者
王丹
顾进杰
任娜
朱长青
Wang Dan;Gu Jinjie;Ren Na;Zhu Changqing(Provincial Geomatics Centre of Jiangsu,Nanjing 210013,China;Key Laboratory of Virtual Geographic Environment of Ministry of Education,Nanjing Normal University,Nanjing 210023,China)
出处
《南京师大学报(自然科学版)》
北大核心
2025年第6期58-69,共12页
Journal of Nanjing Normal University(Natural Science Edition)
基金
江苏省自然资源厅科技项目(JSZRKJ202405).
关键词
实景三维
超混沌系统
选择性加密
动态加解密
real-scene 3D
hyperchaotic system
selective encryption
dynamic encryption and decryption
