Abstract: [Purpose/Significance] According to the relevant laws, regulations and industry standards for communication data, personal communication data is divided into four levels. However, there is a lack of quantitative research support for this classification. This paper aims to solve the problem by quantitative measurement of communication privacy value. [Design/Methodology] Firstly, we summarize the types of communication privacy text and build the communication privacy text database. Secondly, a communication sensitive vocabulary is constructed to identify the sensitivity of communication data. Finally, a privacy measurement model is designed to measure communication privacy. [Findings/Conclusion] According to the size of communication privacy value, the sorting results of personal communication data are: communication content data, statistical analysis data, personal related data, communication derived data, and communication address data. [Originality/Value] Based on the communication privacy text, this study identifies communication sensitive data, measures the communication privacy value. This paper supplements the subjective cognition measurement method of privacy subject sensitivity, and provides a quantitative basis for the hierarchical protection of personal communication data.

Key words: Communication sensitive data, Communication sensitive vocabulary, Communication privacy measurement, Communication privacy text, Communication sensitive data unit