• Title/Summary/Keyword: 디지털 포렌식

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A Study on the License Management Model for Secure Contents Distribution in Ubiquitous Environment (유비쿼터스 환경의 안전한 콘텐츠 유통을 위한 라이센스 관리 모델 연구)

  • Jang, Ui-Jin;Lim, Hyung-Min;Shin, Yong-Tae
    • Journal of Korea Multimedia Society
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    • v.12 no.4
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    • pp.550-558
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    • 2009
  • In ubiquitous environment, more small, lightweight, cheap and movable device is used than one device used in wired network environment. Multimedia service which is anytime, anywhere, is provided by device. However, it does not ensure the fair use of multimedia contents and causes damage to the contents providers because of illegal copy and distribution and indiscriminate use of digital contents. For solving this problems, DRM is applied to wired network but it has the problems does not protect stored license and manage license completely because of depending on simple protection such as device authentication and cryptographic algorithm. This paper proposes the license management model using digital forensic and DRM that prevents contents and licenses from distributing illegally and also enables the creation of evidence for legal countermeasure and the protection of license in whole life cycle.

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Research on the Detection of Image Tampering

  • Kim, Hye-jin
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.111-121
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    • 2021
  • As the main carrier of information, digital image is becoming more and more important. However, with the popularity of image acquisition equipment and the rapid development of image editing software, in recent years, digital image counterfeiting incidents have emerged one after another, which not only reduces the credibility of images, but also brings great negative impacts to society and individuals. Image copy-paste tampering is one of the most common types of image tampering, which is easy to operate and effective, and is often used to change the semantic information of digital images. In this paper, a method to protect the authenticity and integrity of image content by studying the tamper detection method of image copy and paste was proposed. In view of the excellent learning and analysis ability of deep learning, two tamper detection methods based on deep learning were proposed, which use the traces left by image processing operations to distinguish the tampered area from the original area in the image. A series of experimental results verified the rationality of the theoretical basis, the accuracy of tampering detection, location and classification.

Hybrid Detection Algorithm of Copy-Paste Image Forgery (Copy-Paste 영상 위조의 하이브리드 검출 알고리즘)

  • Choi, YongSoo;Atnafu, Ayalneh Dessalegn;Lee, DalHo
    • Journal of Digital Contents Society
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    • v.16 no.3
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    • pp.389-395
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    • 2015
  • Digital image provides many conveniences at the internet environment recently. A great number of applications, like Digital Library, Stock Image, Personal Image and Important Information, require the use of digital image. However it has fatal defect which is easy to be modified because digital image is only electronic file. Numerous digital image forgeries have become a serious problem due to the sophistication and accessibility of image editing software. Copy-Move forgery is the simplest type of forgery that involves copying portion of an image and paste it on different location within the image. There are many approaches to detect Copy-Move forgery, but all of them have their own limitations. In this paper, visual and invisible feature based forgery detection techniques are tested and analyzed. The analysis shows that pros and cons of these two techniques compensate each other. Therefore, a hybrid of visual based and invisible feature based forgery detection that combine the merits of both techniques is proposed. The experimental results show that the proposed algorithm has enhanced performance compared to individual techniques. Moreover, it provides more information about the forgery, like identifying copy and duplicate regions.

Enabling Environment for Participation in Information Storage Media Export and Digital Evidence Search Process using IPA (정보저장매체 반출 및 디지털 증거탐색 과정에서의 참여권 보장 환경에 대한 중요도-이행도 분석)

  • Yang, Sang Hee;Lee, Choong C.;Yun, Haejung
    • The Journal of Society for e-Business Studies
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    • v.23 no.3
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    • pp.129-143
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    • 2018
  • Recently, the use of digital media such as computers and smart devices has been rapidly increasing, The vast and diverse information contained in the warrant of the investigating agency also includes the one irrelevant to the crime. Therefore, when confiscating the information, the basic rights, defense rights and privacy invasion of the person to be seized have been the center of criticism. Although the investigation agency guarantees the right to participate, it does not have specific guidelines, so they are various by the contexts and environments. In this process, the abuse of the participation right is detrimental to the speed and integrity of the investigation, and there is a side effect that the digital evidence might be destroyed by remote initialization. In this study, we conducted surveys of digital evidence analysts across the country based on four domains and thirty measurement items for enabling environment for participation in information storage media export and digital evidence search process. The difference between the level of importance and the performance was analyzed by the IPA matrix based on process, location, people, and technology dimensions. Seven items belonging to "concentrate here" area are one process-related, three location-related, and three people-related items. This study is meaningful to be a basis for establishing the proper policies and strategies for ensuring participation right, as well as for minimizing the side effects.

A Study on Reference Model and Security Requirements for Cloud Forensics (클라우드 포렌식을 위한 참조 모델과 보안 고려사항 연구)

  • Park, Jun Hak;Park, Jun Young;Huh, Eui Nam;Lee, Chul Woo;Kim, Byung Joon;Kim, Hyoung Chun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.271-274
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    • 2017
  • 점차 늘어나는 클라우드 서비스 이용률과 더불어 보안 위협 또한 증가하고 공격 방법 또한 다양해지고 있다. 하지만 클라우드 환경에서 보안사고가 발생했을 시 대응을 위한 조치나 정책은 여전히 미흡한 실정이다. 보안사고 대응을 위한 디지털 포렌식에 대한 연구를 통해 많은 해결 방법이 제시되고 있으나 클라우드 환경에서는 가상화 기술이 적용되어 있어 기존의 방법으로 증거의 수집 및 보관에 대한 무결성 증명이 까다롭다. 본 논문에서는 클라우드 서비스 이용자가 제공자로부터 서비스를 제공받는 클라우드 환경에서 보안사고 사후 대응을 위해 클라우드 환경에서 포렌식 절차를 수행 시 제안하는 참조모델을 바탕으로 필요한 역할 및 보안 고려사항에 대해 다루고자 한다.

File Carving for Ext4 File System on Android OS (안드로이드 운영체제의 Ext4 파일 시스템에서 삭제 파일 카빙 기법)

  • Kim, Dohyun;Park, Jungheum;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.3
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    • pp.417-429
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    • 2013
  • A lot of OS(Operating Systems) such as Linux and Android selected Ext4 as the official file system. Therefore, a recovery of deleted file from Ext4 is becoming a pending issue. In this paper, we suggest how to recover the deleted file by analyzing the entire structure of Ext4 file system, the study of metadata area, the distinct feature when file is assigned and deleted. Particularly, we focus on studying the features of file which is assigned in Ext4 file system in Android OS and also suggest the method to recover the deleted file that is fragmented from the un-allocated area.

A Study of Construct Dictionary File for Password Recovery in Digital Forensics Investigation (디지털 포렌식 관점에서 패스워드 복구를 위한 사전 파일 구축 방안 연구)

  • Lim, Jong-Min;Kwon, Hyuk-Don;Choi, Jae-Min;Lee, Sang-Jin
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2008.02a
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    • pp.155-158
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    • 2008
  • 기술이 발전함에 따라 컴퓨터 범죄는 점차 증가하고 있으며, 용의자는 사건의 증거가 될 수 있는 파일들에 대해 패스워드 기능을 제공하는 응용프로그램을 활용하여 증거물에 대해 의도적인 접근을 막고 있다. 이로 인해 수사관은 암호화된 파일들에 대해 접근이 매우 어려운 상황이며, 해결 방안으로써 패스워드 복구 프로그램이 대안이 될 수 있다. 하지만 대다수의 패스워드 복구 프로그램들은 단순한 전수조사 공격 방식을 지원하거나 국가별 특징을 고려하지 않은 영문용 사전파일을 적용하여 복구하고 있기 때문에, 국내수사 환경에서 패스워드 검색에 한계가 따르고 있다. 따라서 수사관이 암호화된 파일에 대해 효율적으로 검색할 수 있는 방안이 필요하며, 이를 통해 빠른 시간 내에 증거물을 복구할 수 있는 방안이 강구되어야 한다. 본 논문에서는 최근 국내외 사전구축 사례 및 동향을 조사함으로써 효율적인 패스워드 사전 파일을 구축할 수 있는 방안을 제시하며, 이와 함께 용의자의 개인적인 정보를 이용하여 최적화된 사전파일을 생성할 수 있는 방안에 대해 설명한다.

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Analysis of File Time Change by File Manipulation of Linux System (리눅스 시스템에서의 파일 조작에 따른 시간변화 분석)

  • Yoo, Byeongyeong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.3
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    • pp.21-28
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    • 2016
  • File Time information has a significant meaning in digital forensic investigation. File time information in Linux Ext4 (Extended File System 4) environment is the Access Time, Modification Time, Inode Change Time, Deletion Time and Creation Time. File time is variously changed by user manipulations such as creation, copy and edit. And, the study of file time change is necessary for evidence analysis. This study analyzes the change in time information of files or folders resulting from user manipulations in Linux operating system and analyzes ways to determine real time of malware infection and whether the file was modulation.

A Digital Forensic Procedure and Service of Ship with VTS and Navigation Device (VTS 및 소형선박 항해장비의 항적추출을 통한 디지털 포렌식 절차 및 모델서비스)

  • Lee, Byung-Gil;Choi, Byeong-Chel
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.243-245
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    • 2019
  • In the VTS, the predictions of vessel mobility and situation awareness of maritime environment are basic function. In recent years, pilotage information is an essential aware element of VTS personnel for vessel traffic management. So, we designed the structure of pilotage information service with VTS and tested in real environment. In the future, similar pilotage information can be used as a useful VTS service.

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Developed Optimizing File Delete Detection Model (최적화된 디지털 증거 파일삭제 탐지 모델)

  • Kim, Yong-Ho;Yoo, Jae-Hyung;Kim, Kui-Nam J.
    • Convergence Security Journal
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    • v.8 no.2
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    • pp.111-118
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    • 2008
  • Computer forensics have been used for verify a crime when industry secret information or cyber crime occurred. However, these methods are simple analysis which cannot find the problem of deleted files. Therefore these cannot be a trusty evidence in a law court. We studied with focus on connectivity principle because it has never tried yet. In this paper, we developed optimizing detection model through systemized analysis between user-delete method and operating system-delete method. Detection model has 3 cases; Firstly, case of deleted by a user, secondly, case of deleted by application. Thirdly case of deleted by operating system. Detection model guarantees optimized performance because it is used in actual field.

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