An Extended Control Framework for Privacy-Preserving Photo Sharing across Different Social Networks

Fenghua Li, Zhelei Sun, Ben Niu, Jin Cao, Hui Li
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引用次数: 1

Abstract

Photo sharing across different social networks has become one of the most popular social activities in our daily life. However, users lost the control totally once they upload their photos to the current social network. In this paper, we propose the design, implementation and evaluation of PrivacyJPEG, a framework to preserve users’ privacy on their uploaded photos, especially when these photos are forwarded to other social networks. PrivacyJPEG acts as a third-party plugin to existing photo sharing-supported social networks, it enables: 1) to encrypt several privacy areas of photos and bind the access control polices before users uploading their photos, 2) each user’s privacy policy could restrain the following users on a dissemination chain, 3) any privacy areas on the photos could be hidden away from unwanted viewers even across different social networks. Besides, PrivacyJPEG presents a carefully designed embedding method, which binds the policies to the uploaded JPEG file without disturbing their displays. We implement a prototype of PrivacyJPEG, design and perform a set of useful real life experiments. The evaluation results indicate the effectiveness and efficiency of PrivacyJPEG.
在不同的社交网络中保护隐私的照片共享的扩展控制框架
在不同的社交网络上分享照片已经成为我们日常生活中最受欢迎的社交活动之一。然而,一旦用户将照片上传到当前的社交网络上,他们就完全失去了控制权。在本文中,我们提出了PrivacyJPEG框架的设计、实现和评估,这是一个保护用户上传的照片的隐私的框架,特别是当这些照片被转发到其他社交网络时。PrivacyJPEG作为现有的支持照片分享的社交网络的第三方插件,它使:1)对照片的几个隐私区域进行加密,并在用户上传照片之前绑定访问控制策略,2)每个用户的隐私政策可以限制传播链上的以下用户,3)照片上的任何隐私区域都可以隐藏,远离不必要的观众,即使在不同的社交网络。此外,PrivacyJPEG提出了一种精心设计的嵌入方法,将策略绑定到上传的JPEG文件中,而不会影响其显示。我们实现了PrivacyJPEG的原型,设计并执行了一组有用的现实生活实验。评价结果表明了PrivacyJPEG算法的有效性和高效性。
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