面向时空大数据的隐私保护理论基础研究

Research on Privacy Protection Basic Theory of Spatiotemporal Big Data

大数据与地理时空下的数据几乎相互融合,时空大数据逐渐成为市场分析、商业选址、物流、外卖等服务的重要保障,也为智慧城市的发展和个人定位服务提供发展机遇,同时也存在许多安全隐患。本研究从时空视角出发,探讨大数据时代下的隐私保护理论背后的认知机制。从而揭示了时空大数据的生命周期及隐私风险、以及时空大数据的隐私保护技术,不仅深化了传统"小数据"理论框架下研究大数据隐私保护的问题,更为其进一步构建空间大数据隐私管理框架提供参考。

The big data and data in the geographical space and time are almost integrated,and the space-time large data has gradually become an important guarantee for market analysis,business location,logistics,takeout and other services. It also provides opportunities for the development of intelligent cities and personal positioning services,and there are also many security hidden troubles. From the perspective of time and space,this study explores the cognitive mechanism behind the privacy protection theory in the era of big data. It reveals the life cycle and privacy risk of space-time big data,and the privacy protection technology of space-time big data. It not only deepens the traditional＂small data＂theory framework to study the problem of big data privacy protection,but also provides a reference for the further construction of space large data privacy management framework.