Commercialization of Personal Information: Pricing and Trading

DOI

10.2991/edmi-19.2019.57How to use a DOI?

Keywords

privacy analysis, equilibrium pricing; arbitrage free pricing principle; personalized differences.

Abstract

Nowadays, private information is becoming more and more important to both individuals and others. This private information is gradually regarded as a saleable commodity. In this paper, we construct a series of models to complete the whole task, and put forward practical policy recommendations. First, we establish an ideal framework of arbitrage free pricing model as the basic model structure of our pricing. Second, we introduce personalized differences, which define the characteristics of different individual privacy. Finally, we analyze and simulate the stability of the parameters and models, and prove that our models and methods have value. According to the establishment of the above model and the analysis of the data, the correlation between the data is found, and the privacy price pricing model is obtained.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jiaqi Chu
AU  - Weiping Xie
PY  - 2019/08
DA  - 2019/08
TI  - Commercialization of Personal Information: Pricing and Trading
BT  - Proceedings of the 1st International Symposium on Economic Development and Management Innovation (EDMI 2019)
PB  - Atlantis Press
SP  - 343
EP  - 346
SN  - 2352-5428
UR  - https://doi.org/10.2991/edmi-19.2019.57
DO  - 10.2991/edmi-19.2019.57
ID  - Chu2019/08
ER  -