信息物理网络数据感知与安全体系

作为新一代信息技术革命的核心所在，信息物理系统面临数据涵盖范围广、分布空间跨度大、资源富异构化、海量数据不确定性强、泛在化网络连通与系统开放性等现实问题，给信息物理系统数据感知与安全体系带来了极大的挑战。本项目拟从信息物理系统的“感”、“联”、“融”、“信”四个方面入手，研究多源异构资源的协同感知、泛在异构网络的智能互联、多模态数据的高效融合、复杂异构系统的动态信息安全的相关理论和技术，并依托面向智能轨道交通系统的安全信息物理系统应用验证平台，显著提升其"协感"、"智联"、"效融"、"可信"的能力，实现系统内资源配置和运行的按需响应、快速迭代和动态优化。项目的研究成果可促进信息空间与物理空间更广、更深、更快地融合，为实现实用信息物理系统提供理论基础和技术支撑，对驱动我国和湖南省资源优势行业数字化网络化智能化发展具有重要的现实意义。

As the core of the upcoming information revolution, the new characteristics of Cyber-Physical Systems (CPS), such as heterogeneous and multimode raw perceptual data, weak spatiotemporal correlation among diverse sensing devices, uncertainty of huge amount of fused information, system openness and interconnectivity for all potential sensing and networking entities, however, brings significant challenges to provide both efficient and reliable data services and achieve high system security in practical applications. This project proposes new theories and technologies accordingly. Specifically, this project focuses on four aspects of cyber-physical systems to develop perception, connection, fusion, and credibility solutions, including collaborative perception with multi-source heterogeneous sensors based on dynamic task assignment, intelligent interconnection for ubiquitous heterogeneous network and sensors, effective fusion of heterogeneous and multimode raw perceptual data, and theories as well as technologies related to dynamic information security in complex CPS systems. Relying on the school-enterprise cooperation project on smart rail traffic system, we will conduct system testing to verify the effectiveness of the proposed theories and technologies. This project aims to theoretically and technically contribute to the implementation and application of CPS systems. Research outcomes from this project will also promote the fuse of cyberspace and physical space further and faster, boosting the development of CPS in practical applications and correlated industries in Hunan province and China.