基于隐私保护的数字图像取证外包技术框架研究

Research on outsourcing of digital image forensics based on privacy preserving

将数字取证服务外包给云有利于满足公众和各类机构的鉴别服务需求,也是数字取证技术发展的必然。然而这也带来了隐私泄露的风险。在已有的相关领域的研究基础上,给出了具有隐私保护能力的数字图像取证云平台的系统框架,并对Copy-move检测、图像来源鉴别和基于自然图像统计特性的篡改检测3种数字图像取证技术给出了隐私保护实现框架,进而探讨了隐私保护的数字图像取证可能的发展方向。

The rapid growth of digital image forensics calls for outsourcing digital forensics services to the cloud. It meets the requirement of image content authentication from both the public and organizations. However, it also brings the privacy concerns over the abuse of sensitive information. Based on the research in related fields, a digital forensics cloud platform with privacy preservation was presented. Furthermore, privacy-preserving outsourcing of three types of digital forensics methods, including copy-move detection, source identification and natural image statistic-based tamper detection, were designed. Various future research directions were also discussed.