Trilateral Game Aided Information Management for Open Complex Giant Systems

Nowadays, the management and control of open complex giant systems have become a hot topic. In this paper, based on the features of network topology, nodes' heterogeneity and various information attributes, we propose a trilateral game to model the information flow management mechanism for open complex giant systems. Moreover, the players' interactions and strategies are elaborated, followed by the derivation of the subgame perfect Nash equilibrium of this game. Furthermore, we provide a toy example relying on the K-anonymity algorithm to model the degree of 'information transparency' for the information supervisors. Finally, sufficient simulation results and theoretical analysis show the efficiency and feasibility of our proposed model.