• 정보보호학회논문지
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• 제21권3호
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• pp.165-176
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• 2011

본 논문에서는 TTAK.KO-12.0112 문서에 따른 컴퓨터 포렌식을 위한 디지털 증거 분석도구의 일반적인 검증 절차를 살펴보고, 제시된 검증 항목들을 이용하여 실제 증거분석 도구를 대상으로 기능 요구사항들을 테스트한다. 또한 테스트 내용을 바탕으로 대상 도구들에 대한 성능 평가를 수행하며 각 도구들의 증거 분석 기능에 대하여 향후 성능 개선 방향을 제시한다. 이는 테스트 대상 도구가 수행 가능한 기능들을 파악하고, 요구사항 문서에서 제안된 검증 절차들을 활용하여 각 기능 별로 구체적인 모의 테스트를 설계한 후, 검증 항목의 내용을 포함시킨 가상의 증거 이미지 파일들을 생성하여 도구가 분석한 결과를 검증하고 해석한다. 이 과정을 통해 대부분의 도구들에서 단편화된 삭제 파일에 대한 복구, 국내에서 널리 사용되고 있는 파일 포맷 인식, 한글 문자열 처리 기능 등에 취약점이 존재함을 확인할 수 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.178-192
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• 2021

File system forensics typically focus on the contents or timestamps of a file, and it is common to work around file/directory centers. But to recover a deleted file on the disk or use a carving technique to find and connect partial missing content, the evidence must be analyzed using cluster-centered analysis. Forensics tools such as EnCase, TSK, and X-ways, provide a basic ability to get information about disk clusters, but these are not the core functions of the tools. Alternatively, Sysinternals' DiskView tool provides a more intuitive visualization function, which makes it easier to obtain information around disk clusters. In addition, most current tools are for Windows. There are very few forensic analysis tools for MacOS, and furthermore, cluster analysis tools are very rare. In this paper, we developed a tool named FACT (Forensic Analyzer based Cluster Information Tool) for analyzing the state of clusters in a HFS+ file system, for digital forensics. The FACT consists of three features, a Cluster based analysis, B-tree based analysis, and Directory based analysis. The Cluster based analysis is the main feature, and was basically developed for cluster analysis. The FACT tool's cluster visualization feature plays a central role. The FACT tool was programmed in two programming languages, C/C++ and Python. The core part for analyzing the HFS+ filesystem was programmed in C/C++ and the visualization part is implemented using the Python Tkinter library. The features in this study will evolve into key forensics tools for use in MacOS, and by providing additional GUI capabilities can be very important for cluster-centric forensics analysis.

• 정보교육학회논문지
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• 제18권2호
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• pp.235-242
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• 2014

국내외의 여러 기관과 단체에서는 21세기 학습자가 갖추어야 할 핵심 역량의 하나로 ICT 능력을 선정하고 있다. 따라서 한국정보교육학회에서는 정보 교과의 내용 체계에 대한 개정안에 대하여 연구하였으며, 정보 교육 내용을 '컴퓨터 시스템', '소프트웨어 제작' 및 '융합 활동'의 세 영역으로 구분하는 내용세계를 제시하였다. 이에 따라 본 논문에서는 한국정보교육학회에서 제시한 정보교과 내용체계의 '융합활동' 영역 중 생산성 도구에 대한 초등학교 및 중학교의 성취 기준을 학년군별로 마련하였다. 그 결과, 초등학교 1-2학년군에서는 그리기 도구를, 3-4학년은 문서 작성 도구를, 5-6학년은 멀티미디어 도구를, 중학교 1-3학년군은 자료분석 도구를 각각 선정하였다. 그리고 이 성취 기준을 도달하기 위한 교수 학습 방법과 평가 방안을 학년군 별로 세분화하여 제시하였다. 이와 같이 본 연구에서 제시한 '생산성 도구'에 대한 성취기준, 교수 학습 방법, 평가 방법은 향후 초 중등학교 정보교과 교육과정을 개발하는데 기여할 것으로 기대된다.

• 정보보호학회논문지
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• 제25권5호
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• pp.1059-1065
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• 2015

하드디스크에 설정되는 패스워드는 일반적으로 잘 알려지지 않았을 뿐만 아니라, 설정되면 데이터에 접근이 불가능하기 때문에 포렌식 조사를 방해하는 목적으로 사용될 수 있다. 하드디스크의 패스워드를 해제하기 위해서는 PC-3000과 같은 고가의 도구가 필요한데 이는 조직에 비용 부담을 주며, 해당 도구에 익숙지 않은 조사관에게는 조사 시 어려움을 준다. 본 논문에서는 하드디스크 패스워드를 해제하기 위해 필요한 내용을 정리하고 고가의 도구없이 하드디스크에 설정된 패스워드를 해제하는 방법들을 제안한다. 그리고 이 중 특정 제조사에 특화된 방법을 이용하여 패스워드를 획득하고 하드디스크의 잠금을 해제하는 절차를 제시한다.

• 한국공간정보시스템학회 논문지
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• 제11권2호
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• pp.45-53
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• 2009

The fast progress on multimedia data acquisition technologies has enabled collecting vast amount of videos in real time. Although the amount of information gathered from these videos could be high in terms of quantity and quality, the use of the collected data is very limited typically by human-centric monitoring systems. In this paper, we propose a framework for analyzing long traffic video using series of content-based analyses tools. Our framework suggests a method to integrate theses analyses tools to extract highly informative features specific to a traffic video analysis. Our analytical framework provides (1) re-sampling tools for efficient and precise analysis, (2) foreground extraction methods for unbiased traffic flow analysis, (3) frame property analyses tools using variety of frame characteristics including brightness, entropy, Harris corners, and variance of traffic flow, and (4) a visualization tool that summarizes the entire video sequence and automatically highlight a collection of frames based on some metrics defined by semi-automated or fully automated techniques. Based on the proposed framework, we developed an automated traffic flow analysis system, and in our experiments, we show results from two example traffic videos taken from different monitoring angles.

• Journal of Information Technology Applications and Management
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• 제17권3호
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• pp.1-24
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• 2010

Most of enterprises depend on a data modeler during developing their management information systems. In formulating business requirements for information systems, they widely and naturally use the interview method between a data modeler and a field worker. But, the discrepancy between both parties would certainly cause information loss and distortion that lead to let the systems not faithful to real business works. To improve or avoid modeler-dependant data modeling process, many automated data design CASE tools have been introduced. However, since most of traditional CASE tools just support drawing works for conceptual data design, a data modeler could not generate an ERD faithful to real business works and a user could not use them without any knowledge on database. Although some CASE tools supported conceptual data design, they still required too much preliminary database knowledge for a user. Against these traditional CASE tools, we proposed a Requirement-Oriented Entity Relationship Model for automated data design tool, called ROERM. Based on Non-Stop Methodology, ROERM adopts inner systematic modules for complete and sound ERD that is faithful to real field works, where modules are composed of interaction modules with a user, rules of schema operations and sentence translations. In addition to structure design of ROERM, we also devise detailed algorithms and perform an experiment for a case study.

• Nutrition Research and Practice
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• 제18권2호
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• pp.294-307
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• 2024

BACKGROUND/OBJECTIVES: Dietitians frequently use nutrition education tools to facilitate dietary counselling sessions. Nevertheless, these tools may require adaptation to keep pace with technological advancements. This study had a 2-fold purpose: first, to identify the types of nutrition education tools currently in use, identify their limitations, and explore dietitians' perspectives on the importance of these tools; second, to investigate the features that dietitians prefer in digital nutrition education tools. SUBJECTS/METHODS: A semi-structured face-to-face interview was conducted among 15 dietitians from selected public hospitals, primary care clinics, and teaching hospitals in Malaysia. Inductive thematic analysis of the responses was conducted using NVivo version 12 software. RESULTS: Most dietitians used physical education tools including the healthy plate model, pamphlets, food models, and flip charts. These tools were perceived as important as they facilitate the nutrition assessment process, deliver nutrition intervention, and are time efficient. However, dietitians described the current educational tools as impersonal, outdated, limited in availability due to financial constraints, unhandy, and difficult to visualise. Alternatively, they strongly favoured digital education tools that provided instant feedback, utilised an automated system, included a local food database, were user-friendly, developed by experts in the field, and seamlessly integrated into the healthcare system. CONCLUSION: Presently, although dietitians have a preference for digital educational tools, they heavily rely on physical nutrition education tools due to their availability despite the perception that these tools are outdated, impersonal, and inconvenient. Transitioning to digital dietary education tools could potentially address these issues.

• 한국산업정보학회논문지
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• 제2권2호
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• pp.189-207
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• 1997

Recently, we have witnessed a host of emerging tools in the management support systems (MSS) area including the data warehouse/multidimensinal databases (MDDB), data mining, on-line analytical processing (OLAP), intelligent agents, World Wide Web(WWW) technologies, the Internet, and corporate intranets. These tools are reshaping MSS developments in organizations. This article reviews a set of emerging data management technologies in the knowledge discovery in databases(KDD) process and analyzes their implications for decision support. Furthermore, today's MSS are equipped with a plethora of AI techniques (artifical neural networks, and genetic algorithms, etc) fuzzy sets, modeling by example , geographical information system(GIS), logic modeling, and visual interactive modeling (VIM) , All these developments suggest that we are shifting the corporate decision making paradigm form information-driven decision making in the1980s to knowledge-driven decision making in the 1990s.

• 한국컴퓨터정보학회논문지
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• 제3권1호
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• pp.47-62
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• 1998

양질의 코스웨어를 컴퓨터, 프로그래밍과 교수설계의 충분한 지식과 경험 없이도쉽게 개발할 수 있도록 지원하여 주는 저작도구의 필요성과 활용도가 증가하고 있다. 이 논문에서는 현재 많이 사용되고 있는 멀티미디어 저작도구 5가지 즉 GREAT-II, Artware, Authorware Professional, TooIBook, Iconauthor의 특징 및 기능을 분석하였다. 그것을 근거로 저작도구가 기본적으로 가지고 있어야 할 요소와 기능을 분석하고 차세대 멀티미디어 저작도구의 개 선 방향을 제안하였다.

• 한국정보처리학회논문지
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• 제7권6호
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• pp.1911-1922
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• 2000

Recently, various web page development tools for both the beginner and the experienced user are introduced. These tools allow them to generate web pages easily and quickly. However the web pages generated by the tools have lots of functional limitations. Generally authors must have much knowledge for web authoring tools, HTML, CGI programming to open web sites for special purpose. Especially, most of the lecture supporting web site necessarily requires much effort to construct it as well as special functions using CGI, Javascript, Java Applet, etc. to generate dynamic web pages. In order to solve above mentioned limitations, we design and implement an automatic web site construction system using RASIS based on remote execution technologies.