Security Risks and Governance Framework for Intelligent Agents in Transportation

DOI

10.2991/978-94-6239-830-6_19How to use a DOI?

Keywords

Intelligent Agent; Intelligent Transportation; Security Risk; Prevention and Control; Large Language Models

Abstract

The integration of Large Language Models (LLMs) and intelligent agents is driving a paradigm shift in transportation from simple intelligence to collaborative autonomy. Agents with perception, reasoning, and closed-loop action capabilities are being deployed across water, land, and air scenarios. However, this rapid adoption introduces complex security challenges. This paper presents a comprehensive study based on real-world deployment cases, offering a quantitative analysis of application scenarios, core technologies, and risk correlations. Our analysis reveals that while LLMs and multimodal perception are dominant, significant security risks persist, particularly in operational safety and algorithmic reliability. We identify five critical risk dimensions: data security, algorithmic robustness, system architecture, business operations, and compliance governance. Finally, we propose a three-dimensional defense framework encompassing “Technical Protection,” “Operational Control,” and “Industry Governance.” This study provides empirical evidence and strategic references for ensuring the safe deployment of intelligent agents in critical transportation infrastructure.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Long Liang
AU  - Xiaobo Wu
PY  - 2026
DA  - 2026/11/14
TI  - Security Risks and Governance Framework for Intelligent Agents in Transportation
BT  - Proceedings of the 6th International Conference on Internet Finance and Digital Economy (ICIFDE 2026)
PB  - Atlantis Press
SP  - 232
EP  - 243
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-830-6_19
DO  - 10.2991/978-94-6239-830-6_19
ID  - Liang2026
ER  -