Secure Traffic Networks in Smart Cities: Analysis and Design of Cyber-Attack Detection Algorithms

Tanushree Roy, Satadru Dey

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

6 Scopus citations


In this paper, we focus on cyber attacks in the context of macroscopic transportation network models. For our studies, we consider a strip of freeway traffic network that is actuated on the upstream boundary by ramp-metering, which are controlled remotely from a centralized command center. In our framework, we first formulate analytical conditions for generating stealthy cyber-attacks using Aw-Rascle-Zhang (ARZ) macroscopic traffic model. Such conditions elucidate the capability of attackers and theoretical limitations of attack detection algorithms. Subsequently, we propose a design framework for cyber attack detection algorithms that considers several desirable detection characteristics such as stability, robustness and attack sensitivity. Finally, we illustrate the effectiveness of our framework via simulation studies.

Original languageEnglish (US)
Title of host publication2020 American Control Conference, ACC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538682661
StatePublished - Jul 2020
Event2020 American Control Conference, ACC 2020 - Denver, United States
Duration: Jul 1 2020Jul 3 2020

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2020 American Control Conference, ACC 2020
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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