A dynamic Bayesian game-theoretic model to analyze FDI attacks with incomplete information

Published: 01-10-2020| Version 1 | DOI: 10.17632/b5vrnmd89x.1
Contributor:
Meng Tian

Description

We propose a dynamic Bayesian game-theoretic model to analyze FDI attacks with incomplete information. In this model, players’ payoffs are identified according to a proposed bi-level optimization model, and the prior belief of the attacker’s type is constantly updated based on history profiles and relationships between measurements.

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