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악성코드의 효율적인 분석을 위한 안전한 오픈소스 함수에 대한 시그니처 기반 식별 도구
이석수(Seoksu Lee),양종환(Jonghwan Yang),정우식(Woosik Jung),김영철(Yeongcheol Kim),조은선(Eun-Sun Cho) 한국정보보호학회 2017 정보보호학회논문지 Vol.27 No.4
악성코드에 대한 빠른 대응을 위해서는 악성코드에 대한 효율적인 분석이 필요하다. 그 중 하나로, 오픈 소스 함수들과 같이 안전한 것으로 확인된 부분을 분석 대상에서 제외하여 방대한 분석 대상을 줄이는 방법이 도움이 될 수 있다. 본 논문은 여러 오픈소스의 동적 링크 라이브러리 파일을 윈도우 환경에서 생성하여 오픈소스의 함수 정보들을 버전별, 컴파일러별로 시그니처 정보를 추출하고 비교하여 변경이 의심스러운 함수를 찾을 수 있는 자동화 도구를 제시한다. 또한 해당 도구는 비교에 사용된 정보들을 DB에 저장, 추후에 사용할 수 있어 분석 시간 오버헤드를 줄일 수 있다. In order to take rapid action against malware, efficiency in malware analysis is essential. For instance, it would be helpful to identify and eliminate open-source function bodies or other safe portions out of the target binary codes. In this paper, we propose an tool to create open source dynamic link library files in Windows environment, extract signature information by opensource and compiler version, and compare open source function information to find suspicious function. In addition, the tool can save the information used in the comparison to the DB and use it later, reducing the analysis time overhead.
정적, 동적 분석방법을 결합하는 바이너리 코드 취약점 분석 프레임워크
이석수(Seoksu Lee),오원찬(Wonchan Oh),박선녀(Sunnyeo Park),조은선(Eun-Sun Cho),백인성(In Sung Baek) 한국정보과학회 2018 정보과학회논문지 Vol.45 No.12
바이너리 코드의 취약점을 분석하는 것은 소스 코드 분석에 비해 프로그램 의미정보가 적어서 분석이 상대적으로 어렵다. 따라서 전문 분석가가 다양한 특징을 가지는 여러 분석 기법을 조합해서 사용해야 하는 경우가 많다. 하지만, 이러한 분석 기법들은 수행 환경과 분석 결과나 분석에 드는 요구 사항들이 각기 다르므로, 각 도구에 대한 전문 지식이 있더라도 여러 분석 도구를 조합해서 사용하는 데에 부담이 존재한다. 본 논문에서는 바이너리 코드의 다양한 특징을 가지는 분석 도구들을 조합하는 프레임워크를 제시한다. 제안하는 도구는 서로 다른 수행 환경 등의 차이를 가지게 되는 정적분석과 동적 분석을 통합하는 프레임워크를 목표로 한다. 본 논문에서는 제안하는 프레임워크를 사용하여 IDA Pro및 angr 등을 활용한 예를 구축하여 사용가능성을 보이고 수행 시간 측면에서 개선됨을 보인다. Binary program analyses are considered harder than source level analyses, due to the lack of semantic information. Thus, experts frequently combine multiple tools in analyzing binary programs. However, such analysis tools require different prerequisites like various formats of information to deliver based on various working environments, so that even qualified experts would have difficulties in integrating multiple analysis tools. This paper proposes a framework to allow the combination of different analysis tools with various characteristics. The proposed framework aims to integrate a static anlysis and a dynamic analysis which might need different execution environments and other prerequisites. We have also provided prototypes built with realworld tools including IDA Pro and angr, based on the proposed framework, so as to demonstrate its feasibility and performance improvement.
단기통 직접분사식 가솔린 엔진에서 분할 분사 기법의 효과
이용식(Yongseok Lee),문석수(Seoksu Moon),최재준(Jaejoon Choi),배충식(Choongsik Bae) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
It was proved that split injection strategy could improve power in DISI engines with stoichiometric or rich mixtures under full load condition. This study investigated whether split injection strategy could achieve power improvements in DlSI engines with lean mixtures. The effects of 1st injecton timing, 2nd injection timing, and fuel split ratio were investigated. The relations between combustion characteristic and exhaust emissions were considered. The results showed that split injection strategy could improve power in DISI engines with lean mixtures.
이상권 ( Sanggwon Lee ),배규한 ( Gyuhan Bae ),( Omer Faruk Atac ),문석수 ( Seoksu Moon ),강진석 ( Jinsuk Kang ) 한국분무공학회 2020 한국액체미립화학회지 Vol.25 No.4
To meet stringent emission regulations of automotive engines, fuel injection control techniques have advanced based on reliable and fast computing prediction models. This study aims to develop a reliable lightweight prediction model of fuel injection rates using a small number of input parameters and based on simple fluid dynamic theories. The prediction model uses the geometry of the injector nozzle, needle motion data, injection conditions and the fuel properties. A commercial diesel injector and US No. 2 diesel were used as the test injector and fuel, respectively. The needle motion data were measured using X-ray phase-contrast imaging technique under various fuel injection pressures and injection pulse durations. The actual injector rate profiles were measured using an injection rate meter for the validation of the model prediction results. In the case of long injection durations with the steady-state operation, the model prediction results showed over 99 % consistency with the measurement results. However, in the case of short injection cases with the transient operation, the prediction model overestimated the injection rate that needs to be further improved.
디젤 인젝터 분사율 예측을 위한 AMESim 기반 1-D 모델 구축
이진우 ( Jinwoo Lee ),김재헌 ( Jaeheun Kim ),김기현 ( Kihyun Kim ),문석수 ( Seoksu Moon ),강진석 ( Jinsuk Kang ),한상욱 ( Sangwook Han ) 한국액체미립화학회 2020 한국액체미립화학회지 Vol.25 No.1
Recently, 1-D model-based engine development using virtual engine system is getting more attention than experimental-based engine development due to the advantages in time and cost. Injection rate profile is the one of the main parameters that determine the start and end of combustion. Therefore, it is essential to set up a sophisticated model to accurately predict the injection rate as starting point of virtual engine system. In this research, procedure of 1-D model setup based on AMESim is introduced to predict the dynamic behavior and injection rate of diesel injector. As a first step, detailed 3D cross-sectional drawing of the injector was achieved, which can be done with help of precision measurement system. Then an approximate AMESim model was provided based on the 3D drawing, which is composed of three part such as solenoid part, control chamber part and needle and nozzle orifice part. However, validation results in terms of total injection quantity showed some errors over the acceptable level. Therefore, experimental work including needle movement visualization, solenoid part analysis and flow characteristics of injector part was performed together to provide more accuracy of 1-D model. Finally, 1-D model with the accuracy of less than 10% of error compared with experimental result in terms of injection quantity and injection rate shape under normal temperature and single injection condition was established. Further work considering fuel temperature and multiple injection will be performed.