首页> 外文会议>International conference on web information systems engineering >My Face is Mine: Fighting Unpermitted Tagging on Personal/Group Photos in Social Media
【24h】

My Face is Mine: Fighting Unpermitted Tagging on Personal/Group Photos in Social Media

机译:我的脸是我的:与社交媒体中的个人/团体照片上的未经许可的标签作斗争

获取原文

摘要

In social media such as Facebook, the sharing of photos among users is common and enjoyable but also very dangerous when the uploader posts photo online without the consents from other participants in the same photo. As a solution, recent research has developed a fine-grained access control on social media photos. Every participant will be tagged by the uploader and notified through internal messages to initialise their own access control strategies. The appearance of participants will be blurred if they want to preserve their own privacy in a photo. However, these methods highly depend on the uploader's reputation of tagging behaviours. Adversaries can easily manipulate unpermitted tagging processes and then publish photos, which should have kept confidential to the public in social media. In order to solve this critical problem, we propose developing a participant-free tagging system for social media photos. This system excludes potential adversaries through automatic tagging processes over two cascading stages: (1) participants are tagged through internal searching which is based on the portrait samples collected in initialisation stage for every new user; (2) the remaining untagged participants will be identified cooperatively through tagged users. In the evaluation, we carried out a series of experiments to validate our system's efficiency and effectiveness. All the results demonstrate the tagging efficiency and effectiveness in protecting users' privacy.
机译:在诸如Facebook之类的社交媒体中,用户之间共享照片是普遍且令人愉快的,但是当上传者未经其他参与者的同意在同一张照片上在线发布照片时,这也是非常危险的。作为解决方案,最近的研究开发了对社交媒体照片的细粒度访问控制。每个参与者都将被上传者标记,并通过内部消息进行通知,以初始化自己的访问控制策略。如果参与者想在照片中保留自己的隐私,他们的外观将变得模糊。但是,这些方法高度依赖于上传者标记行为的声誉。对手可以轻松地操纵未经许可的标记过程,然后发布照片,这些照片应该在社交媒体中对公众保密。为了解决这个关键问题,我们建议为社交媒体照片开发无参与者标签系统。该系统通过两个阶段的自动标记过程排除了潜在的对手:(1)通过内部搜索对参与者进行标记,内部搜索基于初始化阶段为每个新用户收集的肖像样本; (2)其余未加标签的参与者将通过加标签的用户进行协作识别。在评估中,我们进行了一系列实验以验证我们系统的效率和有效性。所有结果证明了标签保护用户隐私的效率和有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号