Security of Self-Driving Car from the Point of View of In-Vehicle System

Seo, Eunbi; Kim, Huy Kang

doi:10.7467/ksae.2018.26.2.240

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Seo and Kim [9] summarized previous studies on the security and main functions of AVs and deduced various attack scenarios from the perspective of an in-vehicle system, aiming to analyze situations requiring security. Security and safety are two factors that must be considered as AV technology rapidly advances.…”

Section: Introductionmentioning

confidence: 99%

Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling

Chae

Kim

Jang

et al. 2022

Journal of Advanced Transportation

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Growing interest has recently been paid to the development of autonomous vehicle scenarios, and corresponding research is being conducted on various methodologies and on the generation of scenarios including technological elements. However, most studies have focused on frequently-occurring accident types or representative accident situations; thus, there is a lack of studies on scenarios considering unpredictable accidents. Proper preparation is required for accident situations because even a small traffic accident that is less likely to occur can lead to fatalities if it is difficult to predict. Accordingly, this study established accident situations based on the Pegasus layer model by using unstructured text data to explain traffic accidents on expressways in Korea. The established accident situations were classified into three types (Typical Traffic/Critical Traffic/Edge Case) according to frequency. Topic modeling was applied to the Edge Case class, i.e., the least likely to occur and thus difficult to predict, to analyze the characteristics of groups and develop risk-situation scenarios for autonomous vehicles based on actual accident data.

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Section: Introductionmentioning

confidence: 99%

Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling

Chae

Kim

Jang

et al. 2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

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Autonomous Vehicle Ecosystem Security: Utilizing Autonomous Vehicle Security-Level Checks through Analytic Hierarchy Process

Lim,

Lee

2024

Applied Sciences

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This study aimed to strengthen the security of autonomous vehicles by analyzing the current status of autonomous vehicle security, such as autonomous vehicle features, security threats, and compliance, and deriving security-level check items. Based on this, the relative importance could be obtained by applying it to the AHP (Analytic Hierarchy Process) model. The results of the empirical analysis showed that the order of priority was the establishment/implementation of a cybersecurity management system, encryption, and risk assessment. The significance of this study is that by deriving security-level check items related to autonomous vehicles and verifying the research model, we can reduce cyber security accidents that can cause loss of life and improve the level of autonomous vehicle security management of related companies. Additionally, by applying AHP evaluated by security experts to the autonomous vehicle field for the first time, it will contribute to the market expansion of the autonomous vehicle industry, which is concerned with security. Furthermore, major automobile companies have to manage the security levels of numerous tier companies due to the nature of the industry. Therefore, if they perform a Quick Check (QC) considering the relative importance of the autonomous vehicle security-level check items presented in this paper, they will be able to effectively identify the security levels of tier companies early.

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