Heterogeneous multi-layer adversarial network design for the IoT-enabled infrastructures

Juntao Chen, Corinne Touati, Quanyan Zhu

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

Abstract

Internet of Things (IoT)-enabled infrastructures have naturally a multi-layer system architecture with an overlaid or underlaid device network and its coexisting infrastructure network. The connectivity between different components in these two heterogeneous networks plays an important role in ensuring a high-level situational awareness. However, IoTenabled infrastructures face cyber threats due to the wireless nature of communications. Therefore, maintaining the network connectivity in the presence of adversaries is a critical task for the infrastructure network operators. In this paper, we establish a three-player three-stage game-theoretic framework including two network operators and one attacker to capture the secure design of multi-layer infrastructure networks by allocating limited resources. We use subgame perfect Nash equilibrium (SPE) to characterize the strategies of players with sequential moves. In addition, we assess the efficiency of the equilibrium network by comparing with its team optimal solution counterparts in which two network operators can coordinate. We further design a scalable algorithm to guide the construction of the equilibrium IoT-enabled infrastructure networks. Finally, we use case studies on the emerging paradigm of Internet of Battlefield Things (IoBT) to corroborate the obtained results.

Original languageEnglish (US)
Title of host publication2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781509050192
DOIs
StatePublished - Jan 10 2018
Event2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
Duration: Dec 4 2017Dec 8 2017

Other

Other2017 IEEE Global Communications Conference, GLOBECOM 2017
CountrySingapore
CitySingapore
Period12/4/1712/8/17

Fingerprint

Network layers
Heterogeneous networks
Communication
Internet of things

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

Cite this

Chen, J., Touati, C., & Zhu, Q. (2018). Heterogeneous multi-layer adversarial network design for the IoT-enabled infrastructures. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings (Vol. 2018-January, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2017.8254620

Heterogeneous multi-layer adversarial network design for the IoT-enabled infrastructures. / Chen, Juntao; Touati, Corinne; Zhu, Quanyan.

2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

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

Chen, J, Touati, C & Zhu, Q 2018, Heterogeneous multi-layer adversarial network design for the IoT-enabled infrastructures. in 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE Global Communications Conference, GLOBECOM 2017, Singapore, Singapore, 12/4/17. https://doi.org/10.1109/GLOCOM.2017.8254620
Chen J, Touati C, Zhu Q. Heterogeneous multi-layer adversarial network design for the IoT-enabled infrastructures. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/GLOCOM.2017.8254620
Chen, Juntao ; Touati, Corinne ; Zhu, Quanyan. / Heterogeneous multi-layer adversarial network design for the IoT-enabled infrastructures. 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
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