Q
Quanyan Zhu
Researcher at New York University
Publications - 474
Citations - 10411
Quanyan Zhu is an academic researcher from New York University. The author has contributed to research in topics: Computer science & Game theory. The author has an hindex of 42, co-authored 416 publications receiving 8351 citations. Previous affiliations of Quanyan Zhu include University of Illinois at Urbana–Champaign & McGill University.
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Journal ArticleDOI
Game theory meets network security and privacy
TL;DR: This survey provides a structured and comprehensive overview of research on security and privacy in computer and communication networks that use game-theoretic approaches and provides a discussion on the advantages, drawbacks, and future direction of using game theory in this field.
Journal ArticleDOI
Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach
TL;DR: This paper proposes a Stackelberg game between utility companies and end-users to maximize the revenue of each utility company and the payoff of each user and derive analytical results for the StACkelberg equilibrium of the game and proves that a unique solution exists.
Journal ArticleDOI
Game-Theoretic Methods for Robustness, Security, and Resilience of Cyberphysical Control Systems: Games-in-Games Principle for Optimal Cross-Layer Resilient Control Systems
Quanyan Zhu,Tamer Basar +1 more
TL;DR: This work states that a computer worm, Stuxnet, was spread to target Siemens supervisory control and data acquisition (SCADA) systems that are configured to control and monitor specific industrial processes.
Proceedings ArticleDOI
Dynamic energy-aware capacity provisioning for cloud computing environments
TL;DR: This paper provides a control-theoretic solution to the dynamic capacity provisioning problem that minimizes the total energy cost while meeting the performance objective in terms of task scheduling delay, and uses Model Predictive Control (MPC) to find the optimal control policy.
Proceedings ArticleDOI
Robust and resilient control design for cyber-physical systems with an application to power systems
Quanyan Zhu,Tamer Basar +1 more
TL;DR: A hybrid theoretical framework for robust and resilient control design in which the stochastic switching between structure states models unanticipated events and deterministic uncertainties in each structure represent the known range of disturbances is proposed.