.png){kind=icon}
返回
Commutative Encryption and Watermarking Algorithm Based on DNA Dynamic Encryption for High-Definition Map
.png){kind=icon}
PRE
AI
DOI：10.1002/spy2.70125.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
High-definition (HD) maps are essential for autonomous driving and intelligent transportation systems. However, their high acquisition cost, significant economic value, and sensitive information content expose them to serious security threats during storage, transmission, and application. Existing encryption and watermarking methods for HD maps rarely achieve both commutativity and lossless, limiting their practical deployment for OpenDRIVE format maps. To address this issue, we propose a commutative encryption and watermarking (CEW) algorithm based on DNA dynamic coding. In the scheme, four parameters of parameterized cubic curves are first scrambled through DNA base complementarity. The parameters are then converted into binary, dynamically encoded using DNA, and diffused via arithmetic operations, ensuring effective encryption. Because encryption does not alter the number of curves, a zero-watermarking strategy is introduced by analyzing the parity of curve counts at each node, thus achieving commutativity between encryption and watermarking. Experimental results demonstrate the robustness and high security of the proposed algorithm. The encrypted HD maps can be accurately decrypted even under various attacks while maintaining efficient encryption and decryption processes. Compared with existing methods, the watermarking scheme embedded in the algorithm exhibits superior robustness and can be reliably detected under common attack scenarios, highlighting its potential for secure management and transmission of HD maps.
Keyword:
chaotic system
commutative encryption-watermarking
DNA dynamic encryption
HD map
security analysis
期刊
S
IF:
2.1
论文数:
126
被引数:
717
机构
引用论文
分享收藏Feng, W.; Zhang, K.; Zhang, J.; Zhao, X.; Chen, Y.; Cai, B.; Zhu, Z.; Wen, H.; Ye, C. Integrating Fractional-Order Hopfield Neural Network with Differentiated Encryption: Achieving High-Performance Privacy Protection for Medical Images. Fractal Fract. 2025, 9, 426. [Google Scholar] [CrossRef]冯, W.; 张, K.; 张, J.; 赵X.; 陈, Y.; 蔡, B.; 朱, Z.; 温, H.; 叶, C. 将分数阶Hopfield神经网络与差异化加密相结合：为医学图像实现高性能隐私保护. 分形分数. 2025, 9, 426. [谷歌学术] [交叉引用].png)
IF0
PREAI
分享收藏Blind Digital Watermarking Algorithm against Projection Transformation for Vector Geographic Data
OAAI
OAAI分享收藏A Robust Memristor-Enhanced Polynomial Hyper-Chaotic Map and Its Multi-Channel Image Encryption Application一种鲁棒忆阻器增强多项式超混沌映射及其多通道图像加密应用OAAI
OAAI分享收藏Simultaneous Localization and Map Change Update for the High Definition Map-Based Autonomous Driving CarSENSORSOAAI
SENSORSIF3.5
OAAI分享收藏
查看更多内容