云计算下的加密域多媒体水印与模式匹配

项目名称： 云计算下的加密域多媒体水印与模式匹配

项目编号： No.61502547

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 郑培嘉

作者单位： 中山大学

项目金额： 21万元

中文摘要： 近年来，加密域信号处理已经成为了信息安全中一个备受关注的领域。运用加密算法和信号处理技术，加密域信号处理能为多媒体安全和用户隐私保护提供了新颖且有效的解决方案，满足在分布式网络（如云计算）环境下对数据安全性的需求。在大数据背景下，加密域信号处理需要效率更高的数据加密算法和处理算法。本项目主要以大数据下的数字图像/视频为研究对象，通过建立统计模型，设计加密算法和提出信号处理技术来保护实多媒体安全和用户隐私。主要研究内容包括：1)基于加密域小波变换的保护用户隐私的人脸识别方案；2)大数据库下图像库的同态加密算法；3)抵抗加密域攻击的安全图像水印方案。本项目的研究能进一步完善加密域信号处理领域的理论和方法，并为该领域的实际应用提供可靠的技术支撑。

中文关键词： 信息安全；加密域信号处理；多媒体安全；隐私保护；模式匹配

英文摘要： In recently, signal processing in the encrypted domain has become one attracting domain in research field of information security. By combining encryption algorithms and signal processing techniques, signal processing in the encrypted domain provides a promising solution protect multimedia security and users' privacies, satisfying the requirements of data security in distributed network, e.g., cloud computing. In the background of big data, it requires more efficient data encryption algorithms and processing methods for signal processing in the encrypted domain. This project mainly studies digital images and videos in big data for the purpose of protecting multimedia security and users' privacies, by building statistics models, designing encryption algorithms and proposing signal processing methods. The research contents are mainly focus on: 1) piracy preserving face recognition based on encrypted domain discrete wavelet transform; 2) homomorphic encryption algorithm for digital image database in big data; 3) secure image watermarking scheme against encrypted domain watermark attacks. Our research achievements can optimize the theory and methods of signal processing in the encrypted domain, and provide solid technical supports for the applications in this the field.

英文关键词： inforamtion security;signal processing in the encrypted domain;multimedia security;privacy protection;pattern matching