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고동현(DongHyun Ko),정인혁(InHyuk Jung),최석환(Seok-Hwan Choi),최윤호(Yoon-Ho Choi) 한국정보보호학회 2018 정보보호학회논문지 Vol.28 No.4
비트코인과 같은 암호 화폐에 대한 관심이 증대됨에 따라 블록체인 기술은 뛰어난 보안성을 갖춘 분산 원장 플랫폼으로 다양한 응용분야에서 많은 주목을 받고 있다. 그러나 암호 화폐 채굴(Cryptomining) 과정에 대한 취약성으로 인해 타인에게 CPU와 같은 컴퓨터 자원을 몰래 갈취하는 공격인 Cryptojacking이 등장하였다. 그 중에서도 브라우저 기반 Cryptojacking은 사용자의 PC에 설치하는 동작 없이 단순히 웹 사이트를 방문하는 것만으로 공격이 수행된다는 점에서 그 심각성이 증대되고 있다. 현재까지의 Cryptojacking 탐지 시스템은 대부분 시그니처 기반으로 동작하기 때문에, 기존 Cryptomining 코드의 변형이나 새롭게 등장하는 Cryptomining 코드는 탐지하지 못하는 문제점이 존재한다. 이를 극복하기 위하여, 본 논문에서는 알려지지 않은 Cryptojacking 공격에 대한 탐지를 위해 Headless 브라우저를 이용하여 탐지대상 사이트의 공격 여부를 확인하는 동적 Cryptojacking 사이트 탐지 방안을 제안한다. 제안하는 동적 분석 기반 Cryptojacking 탐지 시스템은 기존 시그니처 기반 Cryptojacking 탐지 시스템에서 탐지하지 못하는 새로운 Cryptojacking 사이트를 탐지 할 수 있으며, Cryptomining 코드를 우회하여 호출하거나 난독화하더라도 이를 탐지하는 것이 가능하다. With the growing interest in cryptocurrency such as bitcoin, the blockchain technology has attracted much attention in various applications as a distributed security platform with excellent security. However, Cryptojacking, an attack that hijack other computer resources such as CPUs, has occured due to vulnerability to the Cryptomining process. In particular, browser-based Cryptojacking is considered serious because attacks can occur only by visiting a Web site without installing it on a visitor"s PC. The current Cryptojacking detection system is mostly signature-based. Signature-based detection methods have problems in that they can not detect a new Cryptomining code or a modification of existing Cryptomining code. In this paper, we propose a Cryptojacking detection solution using a dynamic analysis-based that uses a headless browser to detect unknown Cryptojacking attacks. The proposed dynamic analysis-based Cryptojacking detection system can detect new Cryptojacking site that cannot be detected in existing signature-based Cryptojacking detection system and can detect it even if it is called or obfuscated by bypassing Cryptomining code.
고동현(Donghyun Ko),이재현(Jaehyun Lee),김정인(Jungin Kim),박범솔(Bumsol Park),이치범(Chibum Lee) 한국생산제조학회 2020 한국생산제조학회지 Vol.29 No.3
In this study, a mobile robot and a manipulator were integrated and implemented using ROS (Robot Operating System). Using computer vision, the robot was intended for delivering objects such as beverages and cans to customers in service environments such as cafes and restaurants, and it will contribute to improvement in work efficiency and service automation. To reduce production costs and weight, we adopted the 4-axis manipulator with gears and motors inside the link so that the manipulator occupied a minimum space within the operating range. To achieve free movement in a narrow workspace, direct drive mechanism with low-cost geared motors was adopted for the mobile platform.
곽인재(Injae Kwak),김신명(Shinmyong Kim),고동현(Donghyun Ko),문용현(Yonghyun Moon) 한국자동차공학회 2020 한국자동차공학회 학술대회 및 전시회 Vol.2020 No.11
To achieve more than ever reinforcement of exhaust gas emission regulation on recent days, numerous OBD calibration engineer have hard worked to avoid miss and wrong diagnostic detection with mal-function emission system and component. In this study, the evaporation diagnostic of gasoline fuel leakage delivery system with statistical analysis approach to avoid various calibration results by calibration engineer’s experience and capability with conventional approach. To begin with system analysis which is to clarify system input and output, noise parameter impact on the system. Each vehicle test was performed with variation of fuel level which was came from system analysis, test results are treated as a sample, so we calibrated OBD thresholds using by various statistical methods. It also need to verify that sample could be represent a population then make robust OBD calibration adapted by confidence level and interval to ensure that no miss and wrong diagnostic during vehicle life cycle.