• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.5
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• pp.737-751
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• 2023

The importance of digital forensics in the cloud environment is increasing as businesses and individuals move their data from On-premise to the cloud. Cloud data can be stored on various devices, including mobile devices and desktops, and encompasses a variety of user behavior artifacts, such as information generated from linked accounts and cloud services. However, there are limitations in securing and analyzing digital evidence due to environmental constraints of the cloud, such as distributed storage of data and lack of artifact linkage. One solution to address this is archiving services, and Google's Takeout is prime example. In this paper, user behavior data is analyzed for cloud forensics based on archiving data and necessary items are selected from an investigation perspective. Additionally, we propose the process of analyzing selectively collected data based on time information and utilizing web-based visualization to meaningfully assess artifact associations and multi-behaviors. Through this, we aim to demonstrate the value of utilizing archiving data in response to the increasing significance of evidence collection for cloud data.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.3
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• pp.59-68
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• 2012

Zero client-based cloud storage technology is gaining much interest as a tool to centralized management of organizational documents nowadays. Besides the well-known cloud storage's defects such as security and privacy protection, users of the zero client-based cloud storage point out the difficulty in browsing and selecting the storage category because of its diversity and complexity. To resolve this problem, this study proposes a method of intelligent document archiving by applying an algorithm-based automatic topic identification technology. Without user's direct definition of category to store the working document, the proposed methodology and prototype enable the working documents to be automatically archived into the predefined categories according to the extracted topic. Based on the proposed ideas, more effective and efficient centralized management of electronic documents can be achieved.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.325-326
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• 2016

기업의 경영정보시스템은 과거 MIS를 기반으로 현재는 ERP를 중심으로 SCM, GW 등이 널리 사용되고 있다. 하지만 경영환경이 열악한 중소기업에서는 이러한 시스템들의 도입이 어려운 현실이며, 저가의 보급형 서비스들은 모든 기업의 비즈니스 특징점과 요구사항을 반영하지 못하고 있는 실정이다. 본 논문에서는 산업단지별로 가지고 있는 전문사업분야별로 중소기업에서도 활용이 가능한 빅데이터 기반 아카이빙과 클라우드 기술을 활용하여 제공할 수 있는 EIP 시스템을 제안한다

• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.45-54
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• 2016

Medical images are an effective means to identity medical abnormalities.. Patients typically have medical images taken at different clinics during lifetime, and they often wish to have second interpretation on medical images showing substantial diseases. At present, since personal medical images are distributed to multiple clinics, there is a bit discomfort that patients directly bring their images by hands to get the second interpretation from another physician. With these two motivations, we design a cloud service for archiving medical images and interpreting medical images by physicians. We present the design and implementation of the service, and show its practical value as low-cost personal healthcare service. By using the service, patients can retrieve and review their medical images anytime and have a convenience of acquiring second opinions on their medical images at low-cost without visiting a clinic.

• Journal of KIBIM
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• v.11 no.4
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• pp.1-9
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• 2021

Comparing to general scanning data, the 3D digital map for large construction sites and complex buildings consists of millions of points. The large construction site needs to be scanned multiple times by drone photogrammetry or terrestrial laser scanner (TLS) survey. The scanned point cloud data are required to be registrated with high resolution and high point density. Unlike the registration of 2D data, the matrix of translation and rotation are used for registration of 3D point cloud data. Archiving high accuracy with 3D point cloud data is not easy due to 3D Cartesian coordinate system. Therefore, in this study, iterative closest point (ICP) registration method for improve accuracy of 3D digital map was employed by different overlap ratio on 3D digital maps. This study conducted the accuracy test using different overlap ratios of two digital maps from 10% to 100%. The results of the accuracy test presented the optimal overlap ratios for an ICP registration method on digital maps.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.4
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• pp.27-51
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• 2020

Regional representative libraries are installing joint preservation archives to solve the problem of lack of preservation space in libraries. This study conducted a survey of public library librarians through a questionnaire survey and an FGI method in order to prepare specific operational policies and implementation plans for the Chungnam Library Joint Preservation Archive, which is a regional representative library. Based on this, an operation policy and implementation plan suitable for the common preservation and use of printed and digital data, which is the goal of the Common Preservation Archive, was proposed. As a result of the study, first, the joint preservation library of the Chungnam Library should first transfer books and serials along with ownership in consideration of the condition and demand of the preservation space of participating libraries. Second, it is necessary to establish an operation management system that can be used by all participating libraries in order to quickly and conveniently operate the joint preservation data center and connect it with a cloud-based integrated data management system. Third, a plan for digitizing and archiving data that was judged to be digitized in the Common Preservation Archive was proposed.