Exploring the Privacy Black Hole

DOI

10.2991/tlicsc-18.2018.25How to use a DOI?

Keywords

privacy data risks; privacy pricing model.; people-related.

Abstract

With the popularization of electronic communication and social media, people-related information data has increased massively, which brings about a series of "privacy data risks" such as information data leakage. Conducting the personal behavior data as the index, the application domain as the criterion layer, and the personal privacy price as the goal, the personal privacy pricing model is established based on the analytic hierarchy process. Then we get the revised model of private pricing by combing the privacy valuation function and the market supply and demand relationship. Taking brand, quality, strategic factors into consideration, we establish the group privacy pricing system, national privacy pricing model.

Copyright

© 2018, 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  - Junli Zhang
AU  - Yan Wang
AU  - Rui Wu
PY  - 2018/12
DA  - 2018/12
TI  - Exploring the Privacy Black Hole
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 151
EP  - 156
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.25
DO  - 10.2991/tlicsc-18.2018.25
ID  - Zhang2018/12
ER  -