General identity management model for big data analysis
Feng Gao, Feng Zhang, Junjie Xia, Zheng Ma · 2016 18th International Conference on Advanced Communication Technology (ICACT) · 2016
Nowadays, the big data analysis is more and more widely used in information and telecommunication domain. Benefits from the big data analysis, both the telecommunication operators and Internet service providers could analyze user's interests more effective and predict user's expectation more accurate thus significant improve and add value of their services. Identity management in big data analysis and application has its own requirements with considering the characteristics of big data. In this paper, we analyzed the requirements of identity management for big data analysis, and based on that, present a general identity management model with the intention that compatible advanced and diversity identity management technologies. Refer to the ITU-T Recommendation "Baseline capabilities for enhanced global identity management and interoperability", we analyze the identity management capabilities of this general identity management model. According to the analysis, the general identity model can satisfy the identity management capabilities required in ITU-T standard. Since the design of this model based on the specific requirements and characteristics of big data analysis and application, this prototype general identity management model can be used in the big data analysis and also can guide the system design for big data security.