Game-theoretic distributed control with information-theoretic security guarantees

Yang Lu; Minghui Zhu

doi:10.1016/ifacol.2015.10.341

Game-theoretic distributed control with information-theoretic security guarantees

Yang Lu, Minghui Zhu

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

This paper investigates the synthesis of distributed algorithms to solve a class of convex games. We first propose a distributed algorithm which enables abstract decision-makers and dynamically coupled linear physical systems to asymptotically identify a Nash equilibrium. By using secure multiparty computation, we then propose a distributed information-theoretically secure algorithm such that the convergence property is maintained and simultaneously the exchanged data of a decision-maker is kept private from semi-honest decision-makers.

Original language	English (US)
Pages (from-to)	264-269
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	28
Issue number	22
DOIs	https://doi.org/10.1016/ifacol.2015.10.341
State	Published - Oct 1 2015
Event	5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, NecSys 2015 - Philadelphia, United States Duration: Sep 10 2015 → Sep 11 2015

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

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10.1016/ifacol.2015.10.341

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abstract = "This paper investigates the synthesis of distributed algorithms to solve a class of convex games. We first propose a distributed algorithm which enables abstract decision-makers and dynamically coupled linear physical systems to asymptotically identify a Nash equilibrium. By using secure multiparty computation, we then propose a distributed information-theoretically secure algorithm such that the convergence property is maintained and simultaneously the exchanged data of a decision-maker is kept private from semi-honest decision-makers.",

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Y1 - 2015/10/1

N2 - This paper investigates the synthesis of distributed algorithms to solve a class of convex games. We first propose a distributed algorithm which enables abstract decision-makers and dynamically coupled linear physical systems to asymptotically identify a Nash equilibrium. By using secure multiparty computation, we then propose a distributed information-theoretically secure algorithm such that the convergence property is maintained and simultaneously the exchanged data of a decision-maker is kept private from semi-honest decision-makers.

AB - This paper investigates the synthesis of distributed algorithms to solve a class of convex games. We first propose a distributed algorithm which enables abstract decision-makers and dynamically coupled linear physical systems to asymptotically identify a Nash equilibrium. By using secure multiparty computation, we then propose a distributed information-theoretically secure algorithm such that the convergence property is maintained and simultaneously the exchanged data of a decision-maker is kept private from semi-honest decision-makers.

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T2 - 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, NecSys 2015

Y2 - 10 September 2015 through 11 September 2015

ER -

Game-theoretic distributed control with information-theoretic security guarantees

Abstract

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