| Title | A Dynamic Access Control Model Based on Game Theory for the Cloud |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Shao, Pengfei, Jin, Shuyuan |
| Conference Name | 2021 IEEE Global Communications Conference (GLOBECOM) |
| Date Published | dec |
| Keywords | Access Control, Authorization, cloud computing, Computational modeling, Conferences, dynamic, game theoretic security, game theory, Games, human factors, Measurement, Nash equilibrium, Predictive Metrics, probability, pubcrawl, Scalability, Trust |
| Abstract | The user's access history can be used as an important reference factor in determining whether to allow the current access request or not. And it is often ignored by the existing access control models. To make up for this defect, a Dynamic Trust - game theoretic Access Control model is proposed based on the previous work. This paper proposes a method to quantify the user's trust in the cloud environment, which uses identity trust, behavior trust, and reputation trust as metrics. By modeling the access process as a game and introducing the user's trust value into the pay-off matrix, the mixed strategy Nash equilibrium of cloud user and service provider is calculated respectively. Further, a calculation method for the threshold predefined by the service provider is proposed. Authorization of the access request depends on the comparison of the calculated probability of the user's adopting a malicious access policy with the threshold. Finally, we summarize this paper and make a prospect for future work. |
| DOI | 10.1109/GLOBECOM46510.2021.9685619 |
| Citation Key | shao_dynamic_2021 |
A Dynamic Access Control Model Based on Game Theory for the Cloud