Methodology to Quantitatively Assess Impacts of 5G Telecommunications Cybersecurity Risk Scenarios on Dependent Connected Urban Transportation Systems-Reference-Cited by-同舟云学术

Methodology to Quantitatively Assess Impacts of 5G Telecommunications Cybersecurity Risk Scenarios on Dependent Connected Urban Transportation Systems

Published:2022-06 Issue:2 Volume:8 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Vargas Paola¹^ORCID,Tien Iris²^ORCID

Affiliation:

1. Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, North Ave. NW, Atlanta, GA 30332 (corresponding author). ORCID: .

2. Williams Family Associate Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, North Ave. NW, Atlanta, GA 30332. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001220

Reference23 articles.

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2. A novel context-based risk assessment approach in vehicular networks;Ahmad F.;IEEE Network,2016

3. Framework for Probabilistic Vulnerability Analysis of Interdependent Infrastructure Systems

4. Investigation of Automated Vehicle Effects on Driver's Behavior and Traffic Performance

5. Audi Ericsoon Qualcomm Swarco and Technische Universitat Kaiserlautern. 2020. “ConVex deliverable D4.1: Roadside ITS station specification.” Accessed March 25 2021. https://convex-project.de/onewebmedia/D4.1_Roadside-ITS-Station-Specification_rev1.pdf.

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