Ye Conghuan, Tan Shenglong, Wang Zheng, Shi Binghua, Shi Li
School of Information Engineering, Hubei University of Economics, Wuhan 430205, China.
Hubei Internet Finance Information Engineering Technology Research Center, Hubei University of Economics, Wuhan 430205, China.
Entropy (Basel). 2023 Jul 7;25(7):1031. doi: 10.3390/e25071031.
With the advent of cloud computing and social multimedia communication, more and more social images are being collected on social media platforms, such as Facebook, TikTok, Flirk, and YouTube. The amount of social images produced and disseminated is rapidly increasing. Meanwhile, cloud computing-assisted social media platforms have made social image dissemination more and more efficient. There exists an unstoppable trend of fake/unauthorized social image dissemination. The growth of social image sharing underscores potential security risks for illegal use, such as image forgery, malicious copying, piracy exposure, plagiarism, and misappropriation. Therefore, secure social image dissemination has become urgent and critical on social media platforms. The authors propose a secure scheme for social image dissemination on social media platforms. The main objective is to make a map between the tree structure Haar (TSH) transform and the hierarchical community structure of a social network. First, perform the TSH transform on a social image using social network analysis (SNA). Second, all users in a social media platform are coded using SNA. Third, watermarking and encryption are performed in a compressed domain for protecting social image dissemination. Finally, the encrypted and watermarked contents are delivered to users via a hybrid multicast-unicast scheme. The use of encryption along with watermarking can provide double protection for social image dissemination. The theory analysis and experimental results demonstrate the effectiveness of the proposed scheme.
随着云计算和社交多媒体通信的出现，越来越多的社交图像在社交媒体平台上被收集，如脸书、抖音、弗利克和优兔。所产生和传播的社交图像数量正在迅速增加。与此同时，云计算辅助的社交媒体平台使社交图像传播变得越来越高效。存在着虚假/未经授权的社交图像传播这一不可阻挡的趋势。社交图像分享的增长凸显了非法使用的潜在安全风险，如图像伪造、恶意复制、盗版曝光、剽窃和挪用。因此，在社交媒体平台上实现安全的社交图像传播已变得紧迫且至关重要。作者提出了一种社交媒体平台上社交图像传播的安全方案。主要目标是在树形结构哈尔（TSH）变换与社交网络的层次社区结构之间建立映射。首先，使用社交网络分析（SNA）对社交图像进行TSH变换。其次，使用SNA对社交媒体平台上的所有用户进行编码。第三，在压缩域中进行水印和加密以保护社交图像传播。最后，通过混合多播-单播方案将加密和带水印的内容传送给用户。加密与水印的结合使用可为社交图像传播提供双重保护。理论分析和实验结果证明了所提方案的有效性。
