A HEVC Video Steganalysis Algorithm Based on PU Partition Modes

• 作者: Laijing Meng Shutong Xu Yuanchang Liang Yunqing Shi Zhaohong Li Zhonghao Li
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: VIDEO STEGANALYSIS PU PARTITION MODES data hiding HEVC VIDEOS
• 年，卷（期）: 2019,（5）
• 页码范围: 563-574
• 页数: 12页
• 分类号: TN9

摘要

Steganalysis is a technique used for detecting the existence of secret information embedded into cover media such as images and videos.Currently,with the higher speed of the Internet,videos have become a kind of main methods for transferring information.The latest video coding standard High Efficiency Video Coding(HEVC)shows better coding performance compared with the H.264/AVC standard published in the previous time.Therefore,since the HEVC was published,HEVC videos have been widely used as carriers of hidden information.In this paper,a steganalysis algorithm is proposed to detect the latest HEVC video steganography method which is based on the modification of Prediction Units(PU)partition modes.To detect the embedded data,All the PU partition modes are extracted from P pictures,and the probability of each PU partition mode in cover videos and stego videos is adopted as the classification feature.Furthermore,feature optimization is applied,that the 25-dimensional steganalysis feature has been reduced to the 3-dimensional feature.Then the Support Vector Machine(SVM)is used to identify stego videos.It is demonstrated in experimental results that the proposed steganalysis algorithm can effectively detect the stego videos,and much higher classification accuracy has been achieved compared with state-of-the-art work.