资源受限条件下多媒体感知数据的安全技术研究

项目名称： 资源受限条件下多媒体感知数据的安全技术研究

项目编号： No.61300182

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 肖晨

作者单位： 北京邮电大学

项目金额： 23万元

中文摘要： 信息安全问题是多媒体感知等物联网应用中的重要研究课题之一。物联网应用中，终端设备等处理单元的计算及能量资源有限，限制了信息安全保护措施的实施。其中数据机密性的保护需要进行复杂的数据加密操作，因而受限资源对其影响较大。此外由于多媒体感知应用中视频、音频、图像等多媒体数据量大，且有实时性约束，因此如何在资源受限条件下完成多媒体感知数据加密保护是一个亟需解决的问题。本课题首先研究受限资源与海量数据安全处理的不对称性，提出一种基于安全效用价值的资源优化模型；其次提出一种面向终端感知设备的轻量可分级多媒体数据加密方法；再次研究面向感知数据网络传输层的快速自适应多媒体数据加密方法；最后针对系统中多路多媒体感知数据的整体安全性,研究多路数据加密优化控制模型，将前两种具体加密策略结合到控制模型中。本课题的研究将为物联网海量多媒体感知数据在受限资源条件下的机密性保护提一组供理论模型与核心算法。

中文关键词： 物联网；视频感知；信息安全；视频加密；优化决策

英文摘要： The information security is one of the most important issues in internet of things (IoT) applications such as multimedia sensing. Since the computation and energy resources are constrained in IoT system, complicated processes for information security are difficult to be implemented. In all of the processes for information security with constrained resources, data confidentiality is the most vulnerable one, because it needs complicated calculations. In addition, since multimedia data, such as audio, video, and image are high-volume and latency-sensitive, the confidentiality problem of multimedia data will become more serious. In this project, we first propose a security utility value based resource optimizing model, in which the asymmetry of constrained resources and the volume of data is taken into account. Secondly, a lightweight graded multimedia encryption scheme, which is suitable for terminal sensing equipments, is proposed. Then, a fast adaptive multimedia data encryption scheme is proposed to adapt to the packets transmission in network layer of IoT. Finally, a multi-datastream oriented encryption selective control optimizing model is proposed, based on the studies of system overall security. Moreover, the above two encryption schemes will be used in this optimizing model. This project aims to optimize t

英文关键词： internet of things；Video sensing；information security；Video encryption；optimization decision