计算机应用 ›› 2019, Vol. 39 ›› Issue (4): 1100-1105.DOI: 10.11772/j.issn.1001-9081.2018091855

• 网络空间安全 • 上一篇    下一篇

基于多融合态的低密度三维模型信息隐藏算法

任帅1, 徐振超1, 王震1, 贺媛1, 张弢2, 苏东旭1, 慕德俊3   

  1. 1. 长安大学 信息工程学院, 西安 710064;
    2. 长安大学 电子与控制工程学院, 西安 710064;
    3. 西北工业大学 自动化学院, 西安 710072
  • 收稿日期:2018-09-06 修回日期:2018-11-16 出版日期:2019-04-10 发布日期:2019-04-10
  • 通讯作者: 张弢
  • 作者简介:任帅(1982-),男,山西太原人,副教授,博士,CCF会员,主要研究方向:信息隐藏;徐振超(1992-),男,山西长治人,硕士研究生,主要研究方向:信息隐藏、数字信息;王震(1993-),男,山西运城人,硕士研究生,主要研究方向:多媒体数据检索及认证;贺媛(1994-),女,陕西神木人,硕士研究生,主要研究方向:3D模型;张弢(1984-),女,山西吕梁人,副教授,博士,主要研究方向:信息隐藏;苏东旭(1995-),男,河南许昌人,硕士研究生,主要研究方向:数字水印;慕德俊(1963-),男,山东荣成人,教授,博士生导师,博士,主要研究方向:网络与信息安全。
  • 基金资助:
    国家自然科学基金资助项目(61702050)。

Low-density 3D model information hiding algorithm based on multple fusion states

REN Shuai1, XU Zhenchao1, WANG Zhen1, HE Yuan1, ZHANG Tao2, SU Dongxu1, MU Dejun3   

  1. 1. School of Information Engineering, Chang'an University, Xi'an Shaanxi 710064, China;
    2. School of Electronic and Control Engineering, Chang'an University, Xi'an Shaanxi 710064, China;
    3. College of Automation, Northwestern Polytechnical University, Xi'an Shaanxi 710072, China
  • Received:2018-09-06 Revised:2018-11-16 Online:2019-04-10 Published:2019-04-10
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61702050).

摘要: 针对现有三维模型信息隐藏算法无法有效抵抗不均匀压缩的问题,提出一种基于多融合态的多载体低密度的信息隐藏算法。首先通过平移和缩放对多个三维模型进行定位、定向及定型;其次对三维模型进行不同角度的旋转,以中心点作为融合点进行融合,得到多个融合态;再次,利用局部高度和Mean Shift聚类分析算法对融合态模型的顶点进行能量划分,得到不同能量的顶点;最后,通过修改顶点坐标的方法将经过Arnold置乱变化的秘密信息快速隐藏于多个融合态和三维模型中。实验结果表明,该算法对抵御不均匀压缩的攻击有很好的鲁棒性且具有很高的不可见性。

关键词: 信息隐藏, 三维模型, 融合态, 局部高度理论, Mean Shift聚类分析

Abstract: Aiming at the problem that the existing 3D model information hiding algorithms cannot effectively resist uneven compression, a multi-carrier low-density information hiding algorithm based on multiple fusion states was proposed. Firstly, multiple 3D models were positioned, oriented and stereotyped by translation and scaling. Secondly, the 3D models were rotated at different angles and merged by using the center point as merging point to obtain multiple fusion states. Thirdly, local height and Mean Shift clustering analysis were used to divide the energy of the vertices of the fusion state model, obtaining the vertices with different energies. Finally, by changing the vertex coordinates, the secret information changed by Arnold scrambling was quickly hidden in multiple fusion states and 3D models. Experimental results show that the proposed algorithm is robust against uneven compression attacks and has high invisibility.

Key words: information hiding, 3D model, fusion state, local height theory, Mean Shift clustering analysis

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