• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.497-501
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• 2010

A software montage means information that can be extracted quickly from software and includes inherent characteristics. If a montage is made from well-known programs, we can filter candidates of similar programs among the group of programs based on the montage. In this paper, we suggest software montages based on two characteristics: API calls and strings. To evaluate the proposed montages, we performed experiments to filter candidates of some similar programs to instant messenger programs. From the experiments, we confirmed that the proposed montages can be used as a forensic tool that filters a group of similar programs even when their functions are not known in advance.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.521-524
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• 2021

HEIF (High Efficiency File Format)는 MPEG에서 개발된 이미지 포맷으로써, 비디오 코덱인 H.265를 활용하여 정지된 화면을 하나의 이미지 형태로 저장할 수 있도록 개발된 컨테이너이다. 아이폰은 2017년부터 HEIF를 사용하고 있으며, 2019년부터는 갤럭시 S10과 같은 안드로이드 기기도 해당 포맷을 지원하고 있다. 이 포맷은 우수한 압축률을 가지도록 이미지를 제공할 수 있으나, 복잡한 내부 구조를 가지고 있으며 기기나 소프트웨어 간 호환성이 현저하게 부족하여 일반적으로 사용되는 JPEG(또는 JPG) 파일을 대체하기에는 아직 대중적이지 못한 상황이다. 하지만 이미 많은 기기에서 HEIF를 사용하고 있음에도 불구하고 디지털 포렌식 연구는 부족한 상황이다. 이는 디지털 포렌식 조사 과정에서 파일 내부에 포함된 정보의 파악이 미흡하여 잠재적인 증거를 놓칠 수 있는 위험에 노출될 수 있다. 따라서 본 논문에서는 아이폰에서 촬영된 HEIF 형식의 사진 파일과 갤럭시에서 촬영된 모션 포토 파일을 분석하여 파일 내부에 포함된 정보와 특징들을 알아본다. 또한 이미지 뷰어기능을 지원하는 소프트웨어를 대상으로 HEIF에 대한 지원 여부를 조사하고 HEIF 뷰어를 분석하는 포렌식 도구의 요구사항을 제시한다.

• Journal of Digital Forensics
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• v.12 no.3
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• pp.39-54
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• 2018

Recently, discussions for the eradication of illegal shooting have been carried out in a socially-oriented way. The government has established comprehensive measures to eradicate cyber sexual violence crimes such as illegal shooting. Although the social interest in illegal shooting has increased, the illegal film shooting case is evolving more and more due to the development of information and communication technology. Applications that can hide confused videos are constantly circulating around the market and community sites. As a result, field investigators and professional analysts are experiencing difficulties in collecting and analyzing evidence. In this paper, we propose an evidence collection and analysis framework for illegal shooting cases in order to give practical help to illegal shooting investigation. We also proposed a system that can detect hidden applications, which is one of the main obstacles in evidence collection and analysis. We developed a detection tool to evaluate the effectiveness of the proposed system and confirmed the feasibility and scalability of the system through experiments using commercially available concealed apps.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1662-1669
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• 2020

Google cloud includes data uploaded and synchronized by users, as well as synchronization history of all cloud services, users' smartphone usage, and location information. Therefore, Google cloud data can be useful for digital forensics from a user behavior analysis perspective. Through this paper, we have identified the types of cloud data that can be acquired using Google's Takeout service and developed a tool that can be usefully utilized in digital forensics research and investigation by screening and analyzing the data required for analyzing user behavior. Because Google cloud data is synchronized through Google accounts regardless of the type of computing device, Google service data used on various devices such as PCs, smartphones, and tablet PCs can be acquired through Google accounts without the device. Therefore, the results of this paper's research are expected to be very useful for digital forensics research and investigation in the current situation.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.115-121
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• 2022

In this paper, we analyze trends in the use of mobile forensic technology, focusing on cases where mobile forensics are used, and we predict the development of future mobile forensics technology using linear regression used in future prediction models. For the current status and outlook analysis, we extracted a total of 8 variables by analyzing 1,397 domestic and foreign mobile forensics-related cases and newspaper articles. We analyzed the prospects for each variable using the year of occurrence as an independent variable, seven variables such as text (text message usage information), communication information (cell phone communication information), Internet usage information, messenger usage information, stored files, GPS, and others as dependent variables. As a result of the analysis, among various aspects of the use of mobile devices, the use of Internet usage information, messenger usage information, and data stored in mobile devices is expected to increase. Therefore, it is expected that continuous research on technologies that can effectively extract and analyze characteristic information of mobile devices such as file systems, the Internet, and messengers will be needed As mobile devices increase performance and utilization in the future and security technology.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.193-206
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• 2024

In tandem with the advancements in the digital era, the significance of digital data has escalated, necessitating an increased focus on digital forensics investigations. However, the process of collecting and analyzing digital evidence faces significant challenges, such as the unidentifiability of damaged files due to issues like media corruption and anti-forensic techniques. Moreover, the technological limitations of existing tools hinder the recovery of damaged files, posing difficulties in the evidence collection process. This paper aims to propose solutions for the recovery of corrupted MS Office files commonly used in digital data creation. To achieve this, we analyze the structure of MS Office files in the OOXML format and present a novel approach to overcome the limitations of current recovery tools. Through these efforts, we aim to contribute to enhancing the quality of evidence collection in the field of digital forensics by efficiently recovering and identifying damaged data.

• Information Systems Review
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• v.19 no.2
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• pp.185-209
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• 2017

In modern society, crime records have been digitized. Digital information is difficult to distinguish from original information, but the former is easy to modulate. This situation explains the increasing importance of digital forensics. However, digital forensic has several inefficiencies because of the rapid development of technology, unclear jurisdiction, and tool errors. This study surveyed digital forensic specialists and derived the priority of domestic digital forensic issues by redefining 17 issues in digital forensics from Brungs-Jamieson study in Australia. The present study was divided into four groups, namely, police, government and public corporations, private companies, and legal groups. The study could compare and analyze comparative analysis of existing studies in Australia and the US. This study can also examine differences in the results of each group in Korea. Thus, the key issues in Korea were derived as "Requirements to 'Fire Up' Original." The differences of the three groups in terms of legal issues were then identified. This finding enables us to understand differences in priorities and importance between groups and countries.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.399-401
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• 2015

디지털 포렌식은 그동안 보안의 차선이 되어왔다. 디지털 포렌식은 늘 보안 사건이 일어난 후에만 사용되는 것으로 인식되었다. 산업의 규모가 커지고 보안의 범위가 넓어지면서 보안은 자본주의 사회에서 필수가 되었다. 이에 따라 디지털 포렌식의 역할은 중요해졌고 관심도 늘어나게 되었다. 하지만 보안 사건이 일어난 후, 그 뒤를 따라가는 것은 힘들고 한계가 있다. 특히 정보는 한번 새어나가면 걷잡을 수 없고, 경제적 손실도 막대하다. 또한 디지털 포렌식을 통해 증거를 수집한다고 해도 디지털 정보는 특성상 조작하기가 쉽기 때문에 법원에서 증거로 인정받기 위해서는 매우 까다로운 절차를 거쳐야 한다. 아직까지 한국에서는 디지털 증거를 어디까지 인정해야 하는지에 대한 명확한 기준이 없기 때문에 까다로운 절차를 거쳤다고 해서 증거로 인정받는다는 보장이 없다. 따라서 보안에 대해서는 예방하는 것이 최선이고 필수이다. 이 논문에서는 그동안 차선으로 인식되었던 디지털 포렌식 도구를 이용하여 보안 사건보다 한 발짝 앞서 보안을 관리하는 방법에 대해 검토하고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.146-149
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• 2007

2000년대에 접어들어 컴퓨터가 보급화 되면서, 컴퓨터를 도구로 하는 범죄가 폭발적으로 증가하기 시작하였다. 컴퓨터 시스템에 접근하여 중요 정보를 빼돌리거나, 범죄의 목적이 되는 해킹과 같은 정보보호 침해사고가 크게 증가하였으며, 컴퓨터를 이용한 정상적인 서비스를 방해하는 형태의 디지털 범죄들이 다수 발생하기 시작하였다. 따라서 범죄 수사 과정에서 전자 매체에 대한 분석이 필수 불가결한 요소로 등장하고 있으며, 이를 분석하려는 디지털 포렌식 연구가 활발히 진행되고 있다. 특히 전자 매체에 기록되는 디지털 정보는 보관이 편리하지만 삭제와 복제가 용이하므로 디지털 증거는 매우 세심하게 다루어야 하며, 수사관에 의한 의도적인 훼손이 없었음을 증명할 수 있는 절차와 제도가 필요하다. 국내에서는 적법한 수사 절차와 무결성을 보장하기 위하여 '절차 연속성(chain-of-custody)'을 제공하는 수사 가이드라인을 제작하였으며, 체계적인 수사를 수행 하고 있다.[4] 이와 더불어 포렌식 수사 과정에서 물리적인 접근을 통해 디지털 저장 매체에 대한 복구할 수 있는 방법이 존재하며, 이에 대한 구체적인 방안을 논한다.[1]

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.2
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• pp.59-66
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• 2017

MySQL database is the second place in the market share of the current database. Especially InnoDB storage engine has been used in the default storage engine from the version of MySQL5.5. And many companies are using the MySQL database with InnoDB storage engine. Study on the structural features and the log of the InnoDB storage engine in the field of digital forensics has been steadily underway, but for how to restore on a record-by-record basis for the deleted data, has not been studied. In the process of digital forensic investigation, database administrators damaged evidence for the purpose of destruction of evidence. For this reason, it is important in the process of forensic investigation to recover deleted record in database. In this paper, We proposed the method of recovering deleted data on a record-by-record in database by analyzing the structure of MySQL InnoDB storage engine. And we prove this method by tools. This method can be prevented by database anti forensic, and used to recover deleted data when incident which is related with MySQL InnoDB database is occurred.