Data Acquisition Framework for Micromobility Vehicles Toward Driving Risk Prediction Against Cyberphysical Security Attack

被引：0

作者：

Sato, Shunsuke ^{[1
]}

Shinkuma, Ryoichi ^{[1
]}

Hirai, Kensei ^{[1
]}

Nakahara, Masataka ^{[2
]}

Okui, Norihiro ^{[2
]}

Kubota, Ayumu ^{[2
]}

Kobayashi, Yasuaki ^{[2
]}

Sugiyama, Keizo ^{[2
]}

Nishio, Takayuki ^{[3
]}

机构：

[1] Shibaura Inst Technol, Tokyo 1358548, Japan

[2] KDDI Res Inc, Saitama 3568502, Japan

[3] Tokyo Inst Technol, Tokyo 1528550, Japan

来源：

IEEE SECURITY & PRIVACY | 2025年 / 23卷 / 02期

关键词：

Security; Data models; Safety; Laser radar; Data acquisition; Computational modeling; Smart cities;

D O I：

10.1109/MSEC.2024.3441731

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article proposes a data acquisition framework for quantifying cyberphysical security attack impacts on micromobility vehicles in real space. Experiments demonstrate its capability to measure security risks across diverse micromobility systems, followed by discussion toward data augmentation and risk prediction.

引用

页码：61 / 70

页数：10

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