• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1441-1455
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• 2017

In order to build a secure electric vehicle charging infrastructure, security research is required because various data including charging and payment data are transmitted in the electric vehicle charging infrastructure. However, previous researches have focused on smart grid related security research such as power system infrastructure rather than charging infrastructure for electric vehicle charging. In addition, research on charging infrastructure is still lacking, and research using a systematic methodology such as threat modeling is not yet under way. Therefore, it is necessary to apply threat modeling to identify security threats and systematically analyze security requirements to build a secure electric vehicle charging infrastructure. In this paper, we analyze the electric vehicle charging infrastructure by accurately identifying possible threats and deriving objective security requirements using threat modeling including Data Flow Diagram, STRIDE, and Attack Tree.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.551-557
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• 2021

With increase of electric vehicle in the road, the number of charging/discharging infrastructure for electric vehicle in public space is also increased rapidly. To charge or discharge the electric vehicle the user of electric vehicle and service provider should verify the each other's identity to minimize security vulnerability. This paper proposes mutual authentication scheme between electric vehicle and charging/discharging service provider with help of hash function and Message Authentication Code(MAC). Also efficient operating scheme for charging/discharging service system is proposed. The analysis shows that the system has robustness against security vulnerability. Also this system can keep the sensitive personal information of service user safely.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.441-448
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• 2020

With help of Vehicle-to-Grid(V2G) technology battery in electric vehicle can be used as distributed energy resource and energy storage in a smart grid environment. Several problems of security vulnerability and privacy preservation can be occurred because V2G network supports 2 way communication among all components. This paper explains and makes analysis of architecture, privacy sensitive data, security vulnerability and security requirement of V2G system. Furthermore efficient architecture and operating scheme for V2G system are proposed. This scheme uses symmetric cryptosystem and hash algorithm to support privacy preservation and mutual authentication.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.141-148
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• 2013

Smart grid can two-way communication using ICT(Information & Communication Technology). Also, smart grid can supply to dynamic power that grafted to electric vehicle can activate to electric vehicle charging infrastructure and used to storage battery of home. Storage battery of home can resale to power provider. These electric vehicle charging infrastructure locate fixed on home, apartment, building, etc charging infrastructure that used fluid on user. If don't authentication for user of fluid user use to charging infrastructure, electric charging service can occurred to illegal use, electric charges and leakgage of electric information. In this paper, we propose smartcard and dynamic ID based user authentication scheme for used secure to electric vehicle service in smart grid environment.

• Journal of Korean Society of Disaster and Security
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• v.14 no.2
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• pp.35-42
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• 2021

In order to produce electric vehicle demand forecasting information, which is an important element of the plan to expand charging facilities for electric vehicles, a model for predicting electric vehicle demand was proposed using Exponential Smoothing. In order to establish input data for the model, the monthly power demand of cities and counties was applied as independent variables, monthly electric vehicle charging stations, monthly electric vehicle charging stations, and monthly electric vehicle registration data. To verify the accuracy of the electric vehicle power demand prediction model, we compare the results of the statistical methods Exponential Smoothing (ETS) and ARIMA models with error rates of 12% and 21%, confirming that the ETS presented in this paper is 9% more accurate as electric vehicle power demand prediction models. It is expected that it will be used in terms of operation and management from planning to install charging stations for electric vehicles using this model in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.2
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• pp.279-287
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• 2012

Recharging battery in electric vehicle takes a quite long time compared with gasoline and diesel vehicle which is a problem, the industries should solve, to introduce the electric vehicle into the market. For this reason, the institutions are suggesting a method replacing the discharged battery to recharged battery which is recharged in the switching center. However, this technology is still required to make clear the controversial issues such as threats to security and identification of users. In this paper, we explore the factors that threats to securities in battery exchange system and define the security requirements of the battery exchange system to solve suggested issues. The results of the research are expected to be the reference in the other studies of electric vehicle field of the commercialization of the battery recharging methods and analysis of the securities.

• The Journal of Information Systems
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• v.31 no.4
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• pp.47-73
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• 2022

Purpose The purpose of this study is to select the electronic architecture concept of the powertrain domain of the electronic platform to be applied to electric vehicles after 2025. Previously, the automotive electrical and electronic architecture was determined only by trend analysis, but the purpose was to determine the scenario based on the data and select it with clear evaluation indicators. Design/methodology/approach This study identified the function to be applied to the powertrain domain of next-generation electric vehicle, estimated the controller, defined the function feature list, organized the scenario candidates with the controller list and function feature list, and selected the final architecture scenario. Findings According to the research results, the powertrain domain of electric vehicles was selected as the architectural concept to apply the DCU (Domain Control Unit) and VCU (Vehicle Control Unit) integrated architecture to next-generation electric vehicles. Although it is disadvantageous or equivalent in terms of cost, it was found to be excellent in most indicators such as stability, security, and hardware demand.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.237-244
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• 2022

Eco-driving of vehicles today presents an advantage that aims to reduce energy consumption and limit CO2 emissions. The application for this option is possible to older vehicles. In this paper, we propose an efficient implementation for IoT (Internet of Things) system for controlling vehicle components that affect the quality of driving (acceleration, braking, clutch, gear change) via Smartphone using Wi-Fi and BLE as communication protocol. The user can see in real-time data from sensors that control driver action on vehicle driving systems such as acceleration, braking, and vehicle shifting through a web interface. Thanks to this communication, the user can control his driving quality and, hence, eco-driving can be achieved

• Convergence Security Journal
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• v.20 no.5
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• pp.11-17
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• 2020

With the increase in cases of using Bluetooth devices used in the electric vehicle charging systems, security issues are also raised. Although various technical efforts have beed made to enhance security of bluetooth technology, various attack methods exist. In this paper, we propose an intelligent Bluetooth intrusion detection system based on a well-known machine learning method, Hidden Markov Model, for the purpose of detecting intelligently representative Bluetooth attack methods. The proposed approach combines packet types of H4, which is bluetooth transport layer protocol, and the transport directions of the packet firstly to represent the behavior of current traffic, and uses the temporal deployment of these combined types as the final input features for detecting attacks in real time as well as accurate detection. We construct the experimental environment for the data acquisition and analysis the performance of the proposed system against obtained data set.

• Journal of Energy Engineering
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• v.21 no.1
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• pp.86-108
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• 2012

$CO_2$ reduction, energy security, and emission reduction are the critical issues in the current automotive industry. As one of the solutions to these issues, Battery Electric Vehicle is attracting attention recently. Advanced battery electric drive vehicle require batteries, power electronics and electrical machines to function. These devices allow the vehicle to use energy from the battery to assist in the propulsion of the vehicle. In this paper, the main feature of these technologies are briefly introduced and recent trends of patent applications are described.