Coverless Steganography Based on Motion Analysis of Video

Coverless Steganography Based on Motion Analysis of Video
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基于视频运动分析的无覆盖隐写术

DOI:
10.1155/2021/5554058
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发表时间:
2021-04
影响因子:
--
通讯作者:
Wang Zhangdong
Wang Zhangdong
中科院分区:
计算机科学4区
文献类型:
--
作者:
Tan Yun;Qin Jiaohua;Xiang Xuyu;Zhang Chunhu;Wang Zhangdong

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随着交互式多媒体业务和摄像头传感器网络的快速发展,网络视频的数量呈爆炸式增长,为隐写术提供了天然的载体库。本文提出了一种基于视频运动分析的无遮盖隐写算法。对数据库中的每一段视频,得到鲁棒的方向光流直方图(RHOOF),并建立索引数据库。隐藏的信息位被映射到RHOOF的哈希序列,并且相应的索引由发送方发送。在接收端,通过计算隐藏视频的RHOOF哈希序列,成功地提取出秘密信息。在整个过程中,封面视频保持原始,没有任何修改,并具有很强的抗隐写分析的能力。容量进行了调查,并显示出良好的改善。该算法对椒盐噪声、斑点噪声、MPEG-4压缩、运动JPEG 2000压缩等攻击具有较好的鲁棒性。与现有的基于图像的无覆盖信息隐藏方案相比,该方法不仅在隐藏信息容量和鲁棒性之间取得了较好的折衷,而且具有较高的隐藏成功率和较低的传输数据负载,具有较好的实用性和可行性。
With the rapid development of interactive multimedia services and camera sensor networks, the number of network videos is exploding, which has formed a natural carrier library for steganography. In this study, a coverless steganography scheme based on motion analysis of video is proposed. For every video in the database, the robust histograms of oriented optical flow (RHOOF) are obtained, and the index database is constructed. The hidden information bits are mapped to the hash sequences of RHOOF, and the corresponding indexes are sent by the sender. At the receiver, through calculating hash sequences of RHOOF from the cover video, the secret information can be extracted successfully. During the whole process, the cover video remains original without any modification and has a strong ability to resist steganalysis. The capacity is investigated and shows good improvement. The robustness performance is prominent against most attacks such as pepper and salt noise, speckle noise, MPEG-4 compression, and motion JPEG 2000 compression. Compared with the existing coverless information hiding schemes based on images, the proposed method not only obtains a good trade-off between hiding information capacity and robustness but also can achieve higher hiding success rate and lower transmission data load, which shows good practicability and feasibility.
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