Optimal contract design under asymmetric information for cloud-enabled internet of controlled things

Juntao Chen, Quanyan Zhu

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

Abstract

The development of advanced wireless communication technologies and smart embedded control devices makes everything connected, leading to an emerging paradigm of the Internet of Controlled Things (IoCT). IoCT consists of two layers of systems: cyber layer and physical layer. This work aims to establish a holistic framework that integrates the cyber-physical layers of the IoCT through the lens of contract theory. For the cyber layer, we use a FlipIt game to capture the cloud security. We focus on two types of cloud, high-type and low-type, in terms of their provided quality of service (QoS). The cloud’s type is of private information which is unknown to the contract maker. Therefore, the control system administrator (CSA) at the physical layer needs to design a menu of two contracts for each type of service provider (SP) due to this asymmetric information structure. According to the received contract, SP decides his cyber defense strategy in the FlipIt game of which the Nash equilibrium determines the QoS of the cloud, and further influences the physical system performance. The objective of CSA is to minimize the payment to the cloud SP and the control cost jointly by designing optimal contracts. Due to the interdependence between the cyber and physical layers in the cloud-enabled IoCT, we need to address the cloud security and contract design problems in an integrative manner. We find that CSA always requires the best QoS from two types of cloud. In addition, under the optimal contracts, the utilities of both SPs are constants. Furthermore, no contracts will be offered to the cloud if the resulting service cannot stabilize the physical system.

Original languageEnglish (US)
Title of host publicationDecision and Game Theory for Security - 7th International Conference, GameSec 2016, Proceedings
PublisherSpringer Verlag
Pages329-348
Number of pages20
Volume9996 LNCS
ISBN (Print)9783319474120
DOIs
StatePublished - 2016
Event7th International Conference on Decision and Game Theory for Security, GameSec 2016 - New York, United States
Duration: Nov 2 2016Nov 4 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9996 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Decision and Game Theory for Security, GameSec 2016
CountryUnited States
CityNew York
Period11/2/1611/4/16

Fingerprint

Asymmetric Information
Thing
Internet
Quality of service
Quality of Service
Control systems
Control System
Game
Design
Private Information
Information Structure
Wireless Communication
Nash Equilibrium
Lenses
Lens
System Performance
Paradigm
Integrate
Minimise
Unknown

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chen, J., & Zhu, Q. (2016). Optimal contract design under asymmetric information for cloud-enabled internet of controlled things. In Decision and Game Theory for Security - 7th International Conference, GameSec 2016, Proceedings (Vol. 9996 LNCS, pp. 329-348). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9996 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-47413-7_19

Optimal contract design under asymmetric information for cloud-enabled internet of controlled things. / Chen, Juntao; Zhu, Quanyan.

Decision and Game Theory for Security - 7th International Conference, GameSec 2016, Proceedings. Vol. 9996 LNCS Springer Verlag, 2016. p. 329-348 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9996 LNCS).

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

Chen, J & Zhu, Q 2016, Optimal contract design under asymmetric information for cloud-enabled internet of controlled things. in Decision and Game Theory for Security - 7th International Conference, GameSec 2016, Proceedings. vol. 9996 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9996 LNCS, Springer Verlag, pp. 329-348, 7th International Conference on Decision and Game Theory for Security, GameSec 2016, New York, United States, 11/2/16. https://doi.org/10.1007/978-3-319-47413-7_19
Chen J, Zhu Q. Optimal contract design under asymmetric information for cloud-enabled internet of controlled things. In Decision and Game Theory for Security - 7th International Conference, GameSec 2016, Proceedings. Vol. 9996 LNCS. Springer Verlag. 2016. p. 329-348. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-47413-7_19
Chen, Juntao ; Zhu, Quanyan. / Optimal contract design under asymmetric information for cloud-enabled internet of controlled things. Decision and Game Theory for Security - 7th International Conference, GameSec 2016, Proceedings. Vol. 9996 LNCS Springer Verlag, 2016. pp. 329-348 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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