• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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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.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.277-301
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• 2020

The purpose of this study is to analyze art museum websites and derive implications for future operation of art museum websites. To this end, this research collected basic information about art museums according to '2018 National General Report of Cultural Infrastructure' and investigate the websites of 30 art museums through multi-step sampling process. This study analyzed the structure and menu of the art museum websites as well as the current state of various contents provided by the websites and the search service for the collections offered by the websites. Following sentences are the results. First of all, the art museum websites offer 5.6 top menus on average. Secondly, contents related to art museum, exhibitions, news, education, general forum, and SNS are the basic contents that should be provided on the art museum websites. Third, for contents related to news, education, and events have problems with hierarchical structure and need to be adjusted. Fourth, in the content type, specialized information contents are relatively insufficient and thus need to be improved. Fifth, the art museum websites should give sufficient information about the collection and offer directory searching hat includes keyword searching as well as detail searching service. It is also required to reorganize the directory along with the download function for searched results and the sorting service.

• Language and Information
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• v.4 no.2
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• pp.1-26
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• 2000

The purpose of this paper is to establish the standard method of evaluation English-to-Korean MT systems We focus on test suites, evaluation procedure and evaluation results. Four computer programs on the market are tested on a test suite consisting of 1,501 sentence, The quality of translation and the capacity of MT system are the key points for evaluation . The sentences in the suite are classified according to the grammatical properties they reveal. The classificatory scheme has the structure of a directory: each sentence belongs to a subclass, which belongs to a major class,. We place the sentences in the test suite on a scale of difficulty (hard ordinary easy) and each output sentence is graded on a scale of four accuracy levels. We also test the programs with respect to their speed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.1
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• pp.1-7
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• 2005

In present web service structure, the service begins when supplier register the information of its service to UDDI(Universal Description Discovery and Integration). When user searches service directory in UDDI, the position of service is transmitted to it. And then, user requests WSDL(Web Service Description Language) to the supplier. When WSDL is delivered to user, user requests the service according to WSDL. This thesis simplifies this web service process. This makes WSDL owned by supplier stored to WSDLBASE when supplier register its service. Also this makes it possible that user search the service and receives WSDL.

• The Journal of Natural Sciences
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• v.8 no.1
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• pp.109-114
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• 1995

For effective management of statistical database, statistical summary information must be provided by accessing directly the precomputed summary data from summary database to store and manage meta database for supporting statistical analysis and providing users with statistical summary information. In order to support effectively the use of summary database, we do the design and implementation of meta database and manager having a hierarchical structure as a data dictionary/directory and operation method is presented.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.779-781
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• 2003

최근에 제안된 VA-File［6］은 k-NN 질의 처리에서 아주 효율적이라고 알려져 있다. 제시된 방법은 분할된 데이터의 저장 효율성을 보장하지 못하기 때문에 각 차원에 할당된 비트의 수가 증가하면(비트수＝3~5) 할수륵 거의 모든 데이터에 대하여 MBH를 생성하는 단점이 있다. k-NN 질의는 거의 모든 데이터를 순차 검색을 통한 일차적 가지제거작업을 한 후. 질의를 수행하기 위한 디스크 접근을 한다. 따라서, 질의를 수행하기 위한 디스크 접근 횟수는 다른 방법들에 비하여 거의 최적에 가까운 접근 횟수를 가지나 주 기억 장치에서 최소-힘을 이용하여 수행하는 일차적 가지 제거 작업의 오버 로더는 간과되었다. 우리는 기존에 알려진 재귀적으로 공간을 두개의 부 공간으로 분할하는 방법을 사용하여 VA-File 과 같은 디렉토리 자료구조를 구축하여 k-NN 실험을 하였다. 이러한 분할된 MBH의 정방형성을 선호하는 방법은 저장 효율성을 보장한다. 실제 데이터에 대한 실험에서 우리가 실험한 간단한 방법은 디스크 접근 시간 및 CPU 시간을 합한 전체 수행시간에서 VA-File에 비하여 최대 93% 정도의 성능 향상이 있다.

• Journal of Information Processing Systems
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• v.17 no.4
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• pp.772-786
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• 2021

The process of tracking suspicious behavior manually on a system and gathering evidence are labor-intensive, variable, and experience-dependent. The system logs are the most important sources for evidences in this process. However, in the Microsoft Windows operating system, the action events are irregular and the log structure is difficult to audit. In this paper, we propose a model that overcomes these problems and efficiently analyzes Microsoft Windows logs. The proposed model extracts lists of both common and key events from the Microsoft Windows logs to determine detailed actions. In addition, we show an approach based on the proposed model applied to track illegal file access. The proposed approach employs three-step tracking templates using Elastic Stack as well as key-event, common-event lists and identify event lists, which enables visualization of the data for analysis. Using the three-step model, analysts can adjust the depth of their analysis.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.118-123
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• 2021

Recently, digital crime is becoming more intelligent, and efficient digital forensic techniques are required to collect evidence for this. In the case of important files related to crime, a specific person may intentionally delete the file. In such a situation, data recovery is a very important procedure that can prove criminal charges. Although there are various methods to recover deleted files, we focuses on the recovery technique using HxD editor. When recovering a deleted file using the HxD editor, check the file structure and access the file data area through calculation. However, there is a possibility that errors such as arithmetic errors may occur when a file approach through calculation is used. Therefore, in this paper, we propose an algorithm that automatically calculates the header and footer of a file after checking the file signature in the root directory for efficient file recovery. If the algorithm proposed in this paper is used, it is expected that the error rate of arithmetic errors in the file recovery process can be reduced.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.135-143
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• 2019

Purpose of this study is enhancing usability of online video platform by analyze link-depth and advertisement frequency. In this study, researcher checked market share of video platform which publishing web-drama, and compare their link-depth and advertisement frequency. As a result, access to the latest content has two to three link-depth. So it does not worsen usability. but, if contents doesn't show on main page or search result, it requires more than five to six steps. Image advertisement show up more than twice on every platform. 'Youtube' and 'Naver TV' show up pre-roll video advertisement in video player before offering contents. In this video platform information structure, directory searching needs high link-depth level and advertisement frequency. It will increase user's bounce rate and decrease return visit rate. So researcher suggests prototype using drop-down menu to reduce link-depth and enhance information structure.

• Journal of the Korean Society for information Management
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• v.18 no.1
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• pp.43-64
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• 2001

The purpose of this study is to examine the features of Internet bookshops in order to suggest the most effective website model for them. Seven Internet bookshop websites are analyzed. The evaluating criteria includes: interface layout, contents, function aspects. The results show that a suggested model should include various aspects: 1) user-centered menu structure, 2) effective search methodlsubject directory, and 3) various and good quality review.