A study of U.S. transportation-cybersecurity visitor flows finds location and education matter most for clustering and predicts 14.16% growth, but the analysis leans on the model's fitted outputs.
Cybersecurity in Transportation Systems: Policies and Technology Directions
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abstract
The transportation industry is experiencing vast digitalization as a plethora of technologies are being implemented to improve efficiency, functionality, and safety. Although technological advancements bring many benefits to transportation, integrating cyberspace across transportation sectors has introduced new and deliberate cyber threats. In the past, public agencies assumed digital infrastructure was secured since its vulnerabilities were unknown to adversaries. However, with the expansion of cyberspace, this assumption has become invalid. With the rapid advancement of wireless technologies, transportation systems are increasingly interconnected with both transportation and non-transportation networks in an internet-of-things ecosystem, expanding cyberspace in transportation and increasing threats and vulnerabilities. This study investigates some prominent reasons for the increase in cyber vulnerabilities in transportation. In addition, this study presents various collaborative strategies among stakeholders that could help improve cybersecurity in the transportation industry. These strategies address programmatic and policy aspects and suggest avenues for technological research and development. The latter highlights opportunities for future research to enhance the cybersecurity of transportation systems and infrastructure by leveraging hybrid approaches and emerging technologies.
fields
cs.CY 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
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The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics
A study of U.S. transportation-cybersecurity visitor flows finds location and education matter most for clustering and predicts 14.16% growth, but the analysis leans on the model's fitted outputs.