Quanyan Zhu

TL;DR: This work designs an incentive model based on trust management by using game theory for peers to collaborate truthfully without free-riding in an IDN environment and shows the existence and uniqueness of a Nash equilibrium under which peers can communicate in an incentive compatible manner.

TL;DR: In this article, a multi-stage Bayesian game framework is proposed to capture incomplete information of deceptive APTs and their multistage multi-phase movement, and the analysis of the perfect Bayesian Nash equilibrium (PBNE) enables a prediction of attacker's behaviors and a design of defensive strategies that can deter the adversaries and mitigate the security risks.

TL;DR: In this paper, the authors proposed an analytical model to study the D2D propagation of malware in wireless IoT networks, where the analysis of mean-field equilibrium in the population is used to construct and solve an optimization problem for the network defender to prevent botnet formation by patching devices while causing minimum overhead to network operation.

TL;DR: A games-in-games framework is established and a Gestalt Nash equilibrium (GNE) solution concept is proposed to characterize the decisions of agents and quantify their risk of bounded perception due to the limited attention.

TL;DR: This work captures the system behaviors of the CIs under malicious attacks and the protection strategies by a zero-sum game and proposes a computationally tractable approximation for large-scale networks which builds on the factored graph.