摘要
数据通过流动、存储(记录和记忆)的使用产生价值。隐私经济学认为可以通过差分隐私公式表达隐私保护的安全性水平,差分隐私的效用函数表示隐私侵害的代价、成本与预算之间的关系。隐私保护是需要支付成本的,其中负成本可以为公司带来一定效益。隐私经济学希望重视个人隐私信息的负外部性现象,以及目前可以解决的一些办法。隐私经济学是一个交叉学科,随着数字经济和人类文明的发展,必将引起更大的关注。
Data generates value through the use of flow,storage(recording and memory).Privacy economics believes that the security level of privacy protection can be expressed by differential privacy formula,and the utility function of differential privacy represents the relationship between the cost,cost and budget of privacy infringement.Privacy protection needs to pay costs,and negative costs can bring certain bene⁃fits to the company.Privacy economics hopes to pay attention to the negative externalities of personal pri⁃vacy information and some solutions that can be solved at present.Privacy economics is an interdisciplinary subject.With the development of digital economy and human civilization,it will certainly attract more at⁃tention.
作者
金浏河
王旭君
JIN Liu-he;WANG Xu-jun(School of Digital Economy&Trade,WenZhou Polytechnic,325035,Wenzhou,Zhejiang,China)
出处
《特区经济》
2023年第5期85-88,共4页
Special Zone Economy
基金
浙江省高校重大人文社科攻关计划项目资助(项目编号:2023QN140)。
关键词
差分隐私
隐私悖论
数据的负外部性
Differential Privacy
Privacy Paradox
Negative Externalities of Data