数据定价机制现状及发展趋势

doi:10.13190/j.jbupt.2018-108

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (1): 120-125.doi: 10.13190/j.jbupt.2018-108

数据定价机制现状及发展趋势

彭慧波, 周亚建

北京邮电大学网络空间安全学院, 北京 100876

收稿日期:2018-05-25 出版日期:2019-02-28 发布日期:2019-03-08
通讯作者: 周亚建(1971-),男,副教授,E-mail:yajian@bupt.edu.cn. E-mail:yajian@bupt.edu.cn
作者简介:彭慧波(1994-),男,硕士研究生.
基金资助:

Data Pricing Mechanism Status and Development Trends

PENG Hui-bo, ZHOU Ya-jian

School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2018-05-25 Online:2019-02-28 Published:2019-03-08
Supported by:

摘要/Abstract

摘要： 探讨了以合理定价为核心的数据交易机制.介绍了国内外知名的数据交易平台；将当前的数据交易定价机制归纳为4种模型：基于博弈论的协议定价模型、基于数据特征的第三方定价模型、基于元组的定价模型和基于查询的定价模型.通过比较各模型的优缺点，结合数据定价的相关理论，分析了存在的问题，讨论了一种适用于复杂真实交易环境，能准确衡量隐私和正确评估数据价值的方法，为相关研究提供参考.

关键词: 数据定价, 定价机制, 博弈论, 隐私度量

Abstract: The construction of a data transaction mechanism centered on reasonable pricing has been discussed. Firstly, the well-known data transaction platforms at home and abroad has been introduced and the current data transaction pricing mechanisms can be summarized into four models:a protocol pricing model based on game theory, a third-party pricing model based on data characteristics, a tuple-based pricing model, and the pricing model of the query. Based on comparing the advantages and disadvantages of each model, combined with the relevant theory of data pricing, analyze the existing problems and discuss a method that is suitable for complex real-time trading environments which can accurately measure privacy and correctly evaluate the value of data.

Key words: data pricing, pricing mechanism, game theory, privacy measurement

中图分类号:

TP399

彭慧波, 周亚建. 数据定价机制现状及发展趋势[J]. 北京邮电大学学报, 2019, 42(1): 120-125.

PENG Hui-bo, ZHOU Ya-jian. Data Pricing Mechanism Status and Development Trends[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(1): 120-125.

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数据定价机制现状及发展趋势

Data Pricing Mechanism Status and Development Trends

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