资源受限条件下多媒体感知数据的安全技术研究

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 the information security of multimedia data in IoT with resource constraints. The results of this project will provide a series of quantitative optimization schemes, which can provide security optimizing strategies for sensor layer, network layer and application layer of IoT respectively.

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。

项目针对实时多媒体数据量大、延迟敏感，而物联网应用中设备的计算及电能资源有限、感知应用中数据安全受到威胁的问题，首先从物联网设备硬件资源和应用需求之间的缺口出发，研究了二者之间的不匹配及发展趋势，并提出了一套用于物联网的资源优化模型；其次提出了一种面向感知设备的轻量级结合编码加密优化方法以及一种编码通用自适应加密优化方法；在此基础上针对系统中多路感知数据的整体安全问题，提出了多路数据安全优化控制模型对前述优化加密方法予以验证，并将资源优化策略引入物联网面部感知检测、物联网资源共享众包等领域进行了应用尝试。以本项目上述研究内容为基础，项目组已发表论文8篇，其中5篇论文课题负责人为第一作者并为通讯作者，且本基金资助为第一标注基金；已培养研究生7名；已申请国家发明专利2项，两项申请已进入实质审查阶段；圆满达到了项目所计划完成的研究目标。