| Title | A Access Control Model of Associated Data Sets Based on Game Theory |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Zhang, Xianzhen, Chen, Zhanfang, Gong, Yue, Liu, Wen |
| Conference Name | 2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) |
| Keywords | Access Control, access control model, Analytical models, associated data sets, associated data sets protection model, authorisation, Control Theory and Privacy, cyber physical systems, Cyber-physical systems, Data models, data privacy, game theory, Games, Human Behavior, Internet, Internet applications, Nash equilbrium, privace protection, privacy, privacy protection issue, pubcrawl, Resiliency, Scalability, sensitive information divulgence, sensitive information owner |
| Abstract | With the popularity of Internet applications and rapid development, data using and sharing process may lead to the sensitive information divulgence. To deal with the privacy protection issue more effectively, in this paper, we propose the associated data sets protection model based on game theory from the point of view of realizing benefits from the access of privacy is about happen, quantify the extent to which visitors gain sensitive information, then compares the tolerance of the sensitive information owner and finally decides whether to allow the visitor to make an access request. |
| DOI | 10.1109/MLBDBI48998.2019.00008 |
| Citation Key | zhang_access_2019 |
A Access Control Model of Associated Data Sets Based on Game Theory