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May 31, 2026Journal of the Korea Academia-Industrial cooperation SocietyOpen Access

Sustainable Vehicle Security Operation and Analysis Technology in the AIoV Environment

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Key Points

This research aims to develop an AI-based vehicle security operation platform that enhances real-time monitoring and management of vehicle threats.
Integration of AI threat detection with OTA, SBOM, and SOC.
Real-time collection and analysis of vehicle communication logs including CAN, Ethernet, and V2X.
Implementation of a feedback loop structure for continuous security management.
Detection rate improved by approximately 18% compared to existing IDS.
False positive rate reduced by approximately 9%.
Average response time shortened to under 2.4 seconds.

Implication

Demonstrates enhanced vehicle security management in AIoV environment, suggesting improved safety measures.

Abstract

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Cite This Study

Hyung-Uk Kim (2026) studied this question.

synapsesocial.com/papers/6a250cbc7def13d035e1cd55 https://doi.org/10.5762/kais.2026.27.5.993

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A context-aware on-board intrusion detection system for smart vehicles2024 · 10 citations
2A hybrid deep learning and residual connection-based architecture for intrusion detection in autonomous vehiclesOriginal Research · 2026
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4Can-Based Intelligent Vehicle Automation And Real-Time Accident Detection With Automatic Alert SystemOriginal Research · 2026
5Deep Defence on Wheels: A Dual Intrusion Detection System Architecture for Comprehensive In-Vehicle Network SecurityOriginal Research · 2026

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