基于三维模型凹凸结构特征的多载体信息隐藏算法

任帅; 石磊; 王斌斌; 程慧荣; 张倩倩; 刘洪林

doi:10.11959/j.issn.1000-0801.2022008

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基于三维模型凹凸结构特征的多载体信息隐藏算法

研究与开发 | 更新时间：2024-06-05

- 基于三维模型凹凸结构特征的多载体信息隐藏算法
- Multi-carrier information hiding algorithm based on three-dimensional model’s concave-convex structure characteristics
- 电信科学 2022年38卷第2期页码：59-70
- 作者机构：
  
  1. 长安大学信息工程学院，陕西西安 710064
  2. 桂林航天工业学院，广西桂林 541004
- 作者简介：
  
  [ "任帅（1982- ），男，博士，长安大学副教授，主要研究方向为信息隐藏技术" ]
  [ "石磊（1996- ），男，长安大学硕士生，主要研究方向为信息隐藏技术" ]
  [ "王斌斌（1997- ），男，长安大学硕士生，主要研究方向为信息隐藏技术" ]
  [ "程慧荣（1997- ），女，长安大学硕士生，主要研究方向为信息隐藏技术" ]
  [ "张倩倩（1998- ），女，长安大学硕士生，主要研究方向为信息隐藏技术" ]
  [ "刘洪林（1967- ），男，桂林航天工业学院教授，主要研究方向为物联网应用、控制理论与应用" ]
- 基金信息：
  
  2020年度中央高校基本科研业务费资助项目（自然科学类）计划（高新技术研究培育项目）;Funding Projects (Natural Sciences) of Fundamental Research Funds for Central Universities in 2020 (High-tech Research and Cultivation Project)(300102240208);长安大学研究生科研创新实践项目;Scientific Innovation Practice Project of Postgraduates of Chang’an University(300103714045)
- DOI：10.11959/j.issn.1000-0801.2022008
  中图分类号： TP309
- 网络出版日期：2022-02，
  
  纸质出版日期：2022-02-20
- 稿件说明：
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任帅, 石磊, 王斌斌, 等. 基于三维模型凹凸结构特征的多载体信息隐藏算法[J]. 电信科学, 2022,38(2):59-70.

Shuai REN, Lei SHI, Binbin WANG, et al. Multi-carrier information hiding algorithm based on three-dimensional model’s concave-convex structure characteristics[J]. Telecommunications science, 2022, 38(2): 59-70.
任帅, 石磊, 王斌斌, 等. 基于三维模型凹凸结构特征的多载体信息隐藏算法[J]. 电信科学, 2022,38(2):59-70. DOI： 10.11959/j.issn.1000-0801.2022008.

Shuai REN, Lei SHI, Binbin WANG, et al. Multi-carrier information hiding algorithm based on three-dimensional model’s concave-convex structure characteristics[J]. Telecommunications science, 2022, 38(2): 59-70. DOI： 10.11959/j.issn.1000-0801.2022008.

摘要

针对单载体的信息隐藏算法的嵌入容量、不可见性和鲁棒性受载体数量限制无法进一步提升的问题，将载体体素化和秘密信息的嵌入结合三维模型凹凸结构特征，提出了一种基于三维模型凹凸结构特征的多载体信息隐藏算法。首先，对三维模型进行体素化，并根据体素化后获得的数据集提取三维模型的凹凸结构特征对载体库进行分类，转换得到凹凸度区间后对其编码；其次，根据载体分类数对秘密信息分段并进行置乱和优化，使载体和秘密信息的嵌入通过其分类及分段数有效地联系起来，分别通过凹凸度区间和体素化坐标点的编码数据双重嵌入秘密信息，进一步提升算法性能；最后，应用遗传算法对秘密信息进行最优调整后完成信息隐藏。实验表明，与基于单载体的高容量三维模型隐写算法相比，算法的不可见性、鲁棒性和容量性都有明显提升。

Abstract

Aiming at the problem that the embedding capacity

invaibility and robustness of a single-carrier information hiding algorithm cannot be further improved due to the limitation of the number of carriers

the voxelization of the carrier and the embedding of secret information were combined with the concave-convex structure characteristics of the three-dimensional model

and a method was proposed.A multi-carrier information hiding algorithm based on the three-dimensional model’s concave-convex structure features.Firstly

the three-dimensional model was voxelized

and the three-dimensional model’s concave-convex structure features were extracted from the data set obtained after voxelization to classify the carrier library

and the concave-convex degree was obtained by conversion after the interval was encoded.Secondly

the secret information was segmented according to the number of carrier classifications and scrambled and optimized

so that the embedding of the carrier and the secret information was effectively connected through its classification and number of segments

and double embedding of secret information by encoding data of concavity intervals and voxelized coordinate points

respectively

to further improve the performance of the algorithm.Finally

the genetic algorithm was applied to optimize the secret information to complete the information hiding.The experiment shows that compared with the high-capacity three-dimensional model steganography algorithm based on a single carrier

the invisibility

robustness and capacity of the algorithm were significantly improved.

关键词

Keywords

references

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