• Convergence Security Journal
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• v.22 no.4
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• pp.147-159
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• 2022

This study conducted a patent analysis to explore the trend of technology development in the field of smart car security. As a result of the analysis, it was confirmed that along with the growth of the smart car market, the development of smart car security related technology is also increasing. In particular, as related technology development has been rapidly taking place in recent years, it has been confirmed that competition among leading smart car countries and major companies is also expanding due to the commercialization of smart car. This study is meaningful in that it examines trends related to smart car security through quantitative analysis using patent data and presents implications accordingly.

• Convergence Security Journal
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• v.18 no.3
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• pp.69-76
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• 2018

One of the most remarkable technologies in the era of the 4th industrial revolution is the interest in the field of smart cars. In the near future, it will not only be possible to move to a place where you want to ride a smart car, but smart cars, including artificial intelligence elements, can avoid sudden car accidents. However, as the field of smart automobiles develops, the risks are expected to increase. Therefore, based on the understanding of security vulnerabilities that may occur in smart car networks, we can apply safe information security technology using FIDO and attribute-based authorization delegation technique to provide smart car control technology that is safe and secure. I want to. In this paper, we show that the proposed method can solve security vulnerabilities by using secure smart car control technology. We will further study various proposals to solve security vulnerabilities in the field of smart car networks through future research.

• Convergence Security Journal
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• v.19 no.3
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• pp.71-79
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• 2019

The demand of smart cars is increasing rapidly. International stand organize such as 3GPP and 5GAA are proposing standard communication protocvols for connected-car, and automotive network infrastructure. But Smart car network have many security threats and more dangerous against the existed wire communication network. Typically, peripheral devices of a smart car may disguise their identity and steal location information and personal information about the vehicle. In addition, the infrastructure elements around smart cars can conspire and put driving cars in danger, threatening lives. This is a very serious security threat. Therefore, in order to solve these problems, we proposed a system that is secure from collusion and tampering attacks using attribute-based authorize delegation method and threshold encryption algorithms. We have demonstrated using a semantic safety model that the proposed system can be safe from collusion attack.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.374-380
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• 2017

The Internet of Things (IoT) refers to intelligent technologies and services that connect all things to the internet so they can interactively communicate with people, other things, and other systems. The development of the IoT environment accompanies advances in network protocols applicable to more lightweight and intelligent sensors, and lightweight and diverse environments. The development of those elemental technologies is promoting the rapid progress in smart car environments that provide safety features and user convenience. These developments in smart car services will bring a positive effect, but can also lead to a catastrophe for a person's life if security issues with the services are not resolved. Although smart cars have various features with different types of communications functions to control the vehicles under the existing platforms, insecure features and functions may bring various security threats, such as bypassing authentication, malfunctions through illegitimate control of the vehicle via data forgery, and leaking of private information. In this paper, we look at types of smart car services in the IoT, deriving the security threats from smart car services based on various scenarios, suggesting countermeasures against them, and we finally propose a safe smart car application plan.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.637-642
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• 2022

Self-authentication technology using electrocardiogram (ECG) signals is drawing attention as a self-authentication technology that can replace existing bio-authentication. A device that recognizes a digital electronic key can be mounted on a vehicle to wirelessly exchange data with a car, and a function that can lock or unlock a car door or start a car by using a smartphone can be controlled through a smartphone. However, smart keys are vulnerable to security, so smart keys applied with bio-authentication technology were studied to solve this problem and provide driver convenience. A personal authentication algorithm using electrocardiogram was mounted on a watch-type wearable device to authenticate bio, and when personal authentication was completed, it could function as a smart key of a car. The certification rate was 95 per cent achieved. Drivers do not need to have a smart key, and they propose a smart key as an alternative that can safely protect it from loss and hacking. Smart keys using personal authentication technology using electrocardiogram can be applied to various fields through personal authentication and will study methods that can be applied to identification devices using electrocardiogram in the future.

• Convergence Security Journal
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• v.23 no.5
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• pp.9-19
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• 2023

Smart cars, which incorporate information and communication technologies (ICT) to improve driving safety and convenience for drivers, have recently emerged. However, the increasing risk of automotive cybersecurity due to the vulnerability of electronic control units (ECUs) and automotive networks, which are essential for realizing the autonomous driving functions of smart cars, is a major obstacle to the widespread adoption of smart cars. Although there have been only a few real-world cases of smart car hacking, drivers' concerns about the security of smart cars can have a negative impact on their proliferation. Therefore, it is important to understand the risk factors perceived by drivers and the trust in smart cars formed through them in order to promote the future diffusion of smart cars. This study examines the risk factors that affect the formation of trust in smart cars, focusing on security and privacy, and analyzes how these factors affect safety perceptions and trust in smart cars.

• Journal of Information Technology Services
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• v.22 no.3
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• pp.49-63
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• 2023

The inclusion of software and wireless communication devices in vehicles has raised concerns regarding automobile security. In its response, UNECE WP.29 implemented the first-ever international standard for automotive cyber security in June 2020. Yet, the existing disparity between national standards for automotive certification systems and 「UN Regulation No. 155」 has caused confusion among auto makers. This discrepancy not only jeopardizes the security of domestic vehicles but also poses challenges to the seamless import and export of automobiles. Hence, there is a need to enhance the automotive cyber security certification system; however, there is a dearth of scholarly discourse on this topic. Consequently, this study presents a proposal for enhancing the domestic automotive cyber security certification system. In view of this, existing legal frameworks such as the 「Motor Vehicle Management Act」 and the 「Self-Driving Vehicle Act」 were reviewed, along with domestic and international automotive certification systems. The recommendations for improvement, derived from the findings, encompass institutional, legal, and operational aspects. This study is highly significant as it examines both domestic and international automotive certification systems in an area where there is a lack of academic discussion.

• Journal of Digital Contents Society
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• v.18 no.6
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• pp.1135-1142
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• 2017

In this paper, we propose IoT based smart CCTV security service to prevent crime in blind spot and prevent unexpected fire or danger. In the proposed method, a RC (Radio Control) car is made using Raspberry pie, and a camera and various modules are installed in an RC car. It was then implemented using Raspbian O / S, Apache Web Server, Shell script, Python, PHP, HTML, CSS, Javascript. The RC car provides a security service that informs the manager of the situation by judging the risk of the scene with modules such as video, voice and temperature. Experimental results show that the transmission time of video and audio information is less than 0.1 second. In addition, real-time status transmission was possible in AVG, emergency, and manual mode. It is expected that the proposed method will be applied to the development of smart city by applying it to unmanned vehicles, drones and the like.

• Review of KIISC
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• v.29 no.5
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• pp.37-43
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• 2019

5G 네트워크의 출현으로 다양한 분야의 새로운 도약이 기대되고 있으며, 특히 자동차 분야에서의 적용에 대한 기대가 크다. 자동차는 커넥티드카(connected car)를 넘어 스마트카(smart car)로의 진화를 이어가고 있으며, 이 과정에서 5G 네트워크의 기여가 클 것으로 기대된다. 본 연구에서는 5G 네트워크의 적용에 따른 자동차의 변화상과 이에 따른 자동차의 보안 문제를 살펴본다.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.41-62
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• 2016

In Internet of Things (IoT) era, more diverse types of information are collected and the environment of information usage, distribution, and processing is changing. Recently, there have been a growing number of cases involving breach and infringement of personal information in IoT services, for examples, including data breach incidents of Web cam service or drone and hacking cases of smart connected car or individual monitoring service. With the evolution of IoT, concerns on personal information protection has become a crucial issue and thus the risk analysis and management method of personal information should be systematically prepared. This study shows risk factors in IoT regarding possible breach of personal information and infringement of privacy. We propose "a risk analysis framework of protecting personal information in IoT environments" consisting of asset (personal information-type and sensitivity) subject to risk, threats of infringement (device, network, and server points), and social impact caused from the privacy incident. To verify this proposed framework, we conducted risk analysis of IoT services (smart communication device, connected car, smart healthcare, smart home, and smart infra) using this framework. Based on the analysis results, we identified the level of risk to personal information in IoT services and suggested measures to protect personal information and appropriately use it.