A cyber-physical game framework for secure and resilient multi-agent autonomous systems

Zhiheng Xu, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The increasing integration of autonomous systems with publicly available networks exposes them to cyber attackers. An adversary can launch a man-in-the-middle attack to gain control of the system and inflict maximum damages with collision and suicidal attacks. To address this issue, this work establishes an integrative game and control framework to incorporate security into the automatic designs, and take into account the cyber-physical nature and the real-time requirements of the system. We establish a cyber-physical signaling game to develop an impact-aware cyber defense mechanism and leverage model-predictive control methods to design cyber-aware control strategies. The integrative framework enables the co-design of cyber-physical systems to minimize the inflicted systems, leading to online updating the cyber defense and physical layer control decisions. We use unmanned aerial vehicles (UAVs) to illustrate the algorithm, and corroborate the analytical results in two case studies.

Original languageEnglish (US)
Title of host publication2015 54th IEEE Conference on Decision and Control, CDC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5156-5161
Number of pages6
Volume2016-February
ISBN (Print)9781479978861
DOIs
StatePublished - Feb 8 2016
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: Dec 15 2015Dec 18 2015

Other

Other54th IEEE Conference on Decision and Control, CDC 2015
CountryJapan
CityOsaka
Period12/15/1512/18/15

Fingerprint

Autonomous agents
Autonomous Systems
Multi-agent Systems
Game
Gain control
Attack
Model predictive control
Unmanned aerial vehicles (UAV)
Co-design
Model Predictive Control
Leverage
Updating
Control Strategy
Collision
Damage
Real-time
Minimise
Framework
Requirements
Design

Keywords

  • Control systems
  • Games
  • Physical layer
  • Predictive control
  • Real-time systems
  • Receivers
  • Security

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Xu, Z., & Zhu, Q. (2016). A cyber-physical game framework for secure and resilient multi-agent autonomous systems. In 2015 54th IEEE Conference on Decision and Control, CDC 2015 (Vol. 2016-February, pp. 5156-5161). [7403026] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2015.7403026

A cyber-physical game framework for secure and resilient multi-agent autonomous systems. / Xu, Zhiheng; Zhu, Quanyan.

2015 54th IEEE Conference on Decision and Control, CDC 2015. Vol. 2016-February Institute of Electrical and Electronics Engineers Inc., 2016. p. 5156-5161 7403026.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xu, Z & Zhu, Q 2016, A cyber-physical game framework for secure and resilient multi-agent autonomous systems. in 2015 54th IEEE Conference on Decision and Control, CDC 2015. vol. 2016-February, 7403026, Institute of Electrical and Electronics Engineers Inc., pp. 5156-5161, 54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, 12/15/15. https://doi.org/10.1109/CDC.2015.7403026
Xu Z, Zhu Q. A cyber-physical game framework for secure and resilient multi-agent autonomous systems. In 2015 54th IEEE Conference on Decision and Control, CDC 2015. Vol. 2016-February. Institute of Electrical and Electronics Engineers Inc. 2016. p. 5156-5161. 7403026 https://doi.org/10.1109/CDC.2015.7403026
Xu, Zhiheng ; Zhu, Quanyan. / A cyber-physical game framework for secure and resilient multi-agent autonomous systems. 2015 54th IEEE Conference on Decision and Control, CDC 2015. Vol. 2016-February Institute of Electrical and Electronics Engineers Inc., 2016. pp. 5156-5161
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