跨社交网络的隐私图片分享框架

李凤华; 孙哲; 牛犇; 曹进; 李晖

doi:10.11959/j.issn.1000-436x.2019107

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跨社交网络的隐私图片分享框架

学术论文 | 更新时间：2024-06-05

- 跨社交网络的隐私图片分享框架
- Privacy-preserving photo sharing framework cross different social network
- 通信学报 2019年40卷第7期页码：1-13
- 作者机构：
  
  1. 中国科学院信息工程研究所，北京 100093
  2. 中国科学院大学网络空间安全学院，北京 100049
  3. 西安电子科技大学网络与信息安全学院，陕西西安 710071
- 作者简介：
  
  [ "李凤华（1966- ），男，湖北浠水人，博士，中国科学院信息工程研究所研究员、博士生导师，主要研究方向为网络与系统安全、信息保护、隐私计算。" ]
  [ "孙哲（1987- ），男，安徽安庆人，中国科学院信息工程研究所博士生，主要研究方向为信息保护、隐私计算。" ]
  [ "牛犇（1984- ），男，陕西西安人，博士，中国科学院信息工程研究所副研究员，主要研究方向为网络安全、隐私计算。" ]
  [ "曹进（1985- ），男，陕西西安人，博士，西安电子科技大学副教授、硕士生导师，主要研究方向为应用密码学、安全协议分析、无线网络安全。" ]
  [ "李晖（1968- ），男，河南灵宝人，博士，西安电子科技大学教授、博士生导师，主要研究方向为密码学、无线网络安全、云计算安全、信息论与编码理论。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2017YFB0802203);国家自然科学基金-广东联合基金资助项目(U1401251);国家自然科学基金资助项目(61672515);国家自然科学基金资助项目(61872441);工业和信息化部2018工业互联网创新发展工程项目“工业互联网标识解析数据管理技术标准制定与试验验证;中国科学院青年创新促进会人才资助项目(2018196)
- DOI：10.11959/j.issn.1000-436x.2019107
  中图分类号： TN929
- 网络出版日期：2019-07，
  
  纸质出版日期：2019-07-25
- 稿件说明：
移动端阅览
李凤华, 孙哲, 牛犇, 等. 跨社交网络的隐私图片分享框架[J]. 通信学报, 2019,40(7):1-13.

Fenghua LI, Zhe SUN, Ben NIU, et al. Privacy-preserving photo sharing framework cross different social network[J]. Journal on communications, 2019, 40(7): 1-13.
李凤华, 孙哲, 牛犇, 等. 跨社交网络的隐私图片分享框架[J]. 通信学报, 2019,40(7):1-13. DOI： 10.11959/j.issn.1000-436x.2019107.

Fenghua LI, Zhe SUN, Ben NIU, et al. Privacy-preserving photo sharing framework cross different social network[J]. Journal on communications, 2019, 40(7): 1-13. DOI： 10.11959/j.issn.1000-436x.2019107.

摘要

针对图片转发场景下隐私泄露的问题，提出了一种跨社交网络的隐私图片分享框架，可用于图片隐私信息的延伸控制和溯源取证。延伸控制方案利用基于传播链的访问控制模型限制后续用户的操作权限，并将隐私策略嵌入图片文件，通过图片加密算法保护图片隐私信息和隐私策略的机密性、完整性，确保用户隐私策略被正确执行。该方案不受限于任何现有社交网络图片分享平台，并且能够有效防止非授权转发造成的图片隐私信息泄露威胁。在此基础上，溯源取证方案记录用户的操作行为，并通过嵌套签名方案防止恶意用户篡改和伪造溯源记录，为跨社交网络的图片隐私侵犯行为溯源取证提供技术手段。实验结果验证了所提方案的有效性和效率。

Abstract

With rapid developments of digital photography and social networks

users of photo-sharing-supported social networking applications can easily forward photos across different social networks at the cost of their growing privacy concerns.To address this problem

a privacy-preserving photo sharing framework was proposed

which could apply to extended control and privacy invasion tracing.In extended control scheme

the following users on a dissemination chain was restrained by each user’s privacy policy.Then several privacy areas of photos were encrypted and the access control polices were bound to the uploaded photos

so that any privacy areas on the photos could be hidden away from unwanted viewers even across different social networks.On this basis

the behaviors of users were record by tracing scheme of privacy invasion

the integrality of records was protected by using nested signature algorithm.The correctness

security and performance of overhead of the scheme are then thoroughly analyzed and evaluated via detailed simulations.

关键词

Keywords

references

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