摘要
随着大数据时代的到来,数据的隐私、安全成本成为重要的研究课题.本文给出隐私定价模型的相关概念与问题描述,从价格和风险两方面探讨了隐私定价的相关参数和度量,包括隐私的内涵、内容和与价格相关的各种因素.隐私的定价机制应该包含选择合适的定价理论、定价模型,我们基于均衡价格理论,短期内个人信息价格是由供求均衡点决定,长期竞争均衡时价格等于长期平均成本的最低值,建立层次分析法、数学规划等数学模型方法解决隐私定价问题,并进行模拟计算.此外,对个人信息的市场供求关系、代际差异、政策法规与政府作用进行了讨论.
With the arrival of big data era,data privacy and security cost have become an important research topic.In this paper,subject F of the 2018 MCM/ICM leads students to explore such problems.This paper gives the concept and problem description of privacy pricing model,and discusses the parameters and measures of privacy pricing from two aspects of price or risk,including the connotation and content of privacy,and various factors related to price.The privacy pricing mechanism should include the selection of appropriate pricing theory,pricing model.Based on equilibrium price theory,the short-term price of personal information is determined by the equilibrium point of supply and demand.When long-term competition is in equilibrium,the price is equal to the lowest value of the long-term average cost.We establish analytic hierarchy process,mathematical programming and other models to solve the privacy pricing problem,and carry out simulation.In addition,the relationship between supply and demand of personal information,intergenerational differences,policies and regulations and the role of government are discussed.
作者
孙云龙
SUN Yunlong(School of Economic Mathematics,Southwestern University of Finance and Economics,Chengdu,Sichuan 610074,China)
出处
《数学建模及其应用》
2018年第4期64-74,共11页
Mathematical Modeling and Its Applications
关键词
个人信息
个人隐私
价格理论
数学规划
personal information
personal privacy
price theory
mathematical programming
作者简介
通讯作者:孙云龙(1965-),男,教授,主要研究方向:计算方法与金融数学,E-mail:sunyl@swufe.edu.cn。
