| Title | Access Control Mechanism Based on Game Theory in the Internet of Things Environment |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Zhang, Xinyan |
| Conference Name | 2022 IEEE 8th International Conference on Computer and Communications (ICCC) |
| Date Published | dec |
| Keywords | Access Control, Behavioral sciences, control theory, Dynamic scheduling, game theory, Games, Human Behavior, human factors, Internet of Things, Nash equilibrium, pubcrawl, Regulators, resilience, Resiliency, Scalability, security, trust value |
| Abstract | In order to solve the problem that the traditional "centralized" access control technology can no longer guarantee the security of access control in the current Internet of Things (IoT)environment, a dynamic access control game mechanism based on trust is proposed. According to the reliability parameters of the recommended information obtained by the two elements of interaction time and the number of interactions, the user's trust value is dynamically calculated, and the user is activated and authorized to the role through the trust level corresponding to the trust value. The trust value and dynamic adjustment factor are introduced into the income function to carry out game analysis to avoid malicious access behavior of users. The hybrid Nash equilibrium strategy of both sides of the transaction realizes the access decision-making work in the IoT environment. Experimental results show that the game mechanism proposed in this paper has a certain restraining effect on malicious nodes and can play a certain incentive role in the legitimate access behavior of IoT users. |
| DOI | 10.1109/ICCC56324.2022.10065968 |
| Citation Key | zhang_access_2022 |
Access Control Mechanism Based on Game Theory in the Internet of Things Environment