基于MT-TF模型的个人隐私定价问题研究

Personal Privacy Pricing Based on MT-TF Model

大数据时代带给人们方便的同时,也因为信息泄露问题,引起了人们对于自身隐私数据信息的重视。本文基于市场时效性和三角模糊数提出运用隐私信息定价模型MT-TF量化个人隐私信息。MT-TF模型从时间成本、财产损失和精神损失三个方面确定隐私信息初始价值,应用信息新度函数确定隐私信息的时效性价值,利用基于均衡理论的市场方法准确量化个人隐私的价值。为获得部分信息价格,该模型利用三角模糊数来获得相应的信息权重。模型实证分析结果显示,某真实个人隐私泄露案件中法院判决为13684元,模型计算为15802元,总体效果较好。该模型能够较好地完成个人隐私信息定价的精准计算,为我国司法、安全及合法隐私交易等领域提供有力的技术支持。

The era of big data not only brings convenience to people,but also causes people to pay more attention to their private data information due to information leakage.In this paper,a privacy information pricing model,i.e.MT-TF model,was proposed based on the market timeliness and triangular fuzzy number to quantify individual privacy information.The model determined the initial value of privacy information from three aspects including time cost,property loss and mental loss.It used the information newness degree function to determine the timeliness value of privacy information and used the market method based on equilibrium theory to accurately quantify the value of personal privacy.In order to obtain partial information price,the model used triangular fuzzy number to acquire corresponding information weight.The test results of the model example show that the court judgment in a real personal privacy disclosure case is 13684 yuan,the model calculation is 15802 yuan,and the overall effect is good.The MT-TF model can better complete the accurate calculation of personal privacy information pricing,and provide strong technical support for judicial,security and legal privacy transactions in China.