• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.173-174
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• 2018

EU의 GDPR(General Data Protection Regulation) 발효로 인해 유럽국가의 개인 정보 데이터를 활용하는 다국적 기업들이 규정에 맞는 데이터 보호정책을 수립하고 보안 투자를 강화하고 있다. 그러나 대다수의 기업들은 해커 등에 의한 사이버 보안을 위해서는 천문학적인 투자를 하고 있지만 기업 내 많은 직원들에 의한 실수나 고의에 의한 개인 정보 유출 방지에 대해서는 대처를 하고 있지 않다. 본 논문에서는 디지털 포렌식 기반의 앤드 포인트 실시간 모니터링 및 인간 행위 분석을 통한 앤드 포인트 개인 정보 보호 기능을 제공하여 기존의 사이버 보안에 국한된 통합 보안 관제의 효율성을 높이는 방안을 제안한다.

• Review of KIISC
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• v.26 no.5
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• pp.17-21
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• 2016

아이폰은 애플컴퓨터에서 개발한 스마트폰으로 애플의 데스크톱 운영체제인 OS X를 스마트폰에 맞게 변형한 iOS 운영체제를 사용한다. iOS는 폐쇠성과 높은 보안성 기능을 내장함으로 사용자에게는 개인 정보를 안전하게 보호할 수 있는 장점을 제공하지만, 디지털 포렌식 분석가에게는 분석 시 많은 어려움을 주고 있다. 애플은 2013년 OS X 매버릭스(10.9)를 시작으로 iOS와 OS X간의 기밀 정보 동기화 및 통화/문자 메시지를 연동할 수 있는 기능을 제공하기 시작하였으며, 2016년에 공개된 시에라(10.12)에서도 클립보드 기능 공유 등의 다양한 연동 기능을 제공하고 있다. 이러한 편의 기능은 분석가에게 아이폰 분석이 어려운 상황에서 아이폰 소유주의 OS X 시스템을 분석하여 아이폰의 아티팩트를 확보할 수 있는 한가지 방법이 될 수 있다. 본 논문에서는 아이폰에서만 획득 가능했던 아티팩트인 통화 및 문자 메시지 내역, 패스워드 정보 등이 OS X와 어떻게 연동되는지 알아보고 OS X 분석 만으로 이러한 증거를 확보할 수 있는 기법을 알아보도록 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1108-1110
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• 2012

파일 시스템은 컴퓨터에서 파일이나 자료를 쉽게 발견 및 접근할 수 있도록 보관 또는 조직하는 체제를 가리키는 말이다. 기존에는 Windows에 사용되는 FAT(File Allocation Table) 파일 시스템과 NTFS(New Technology File System), Unix/Linux 등에서 주로 활용되는 ext계열 파일 시스템 등이 주된 분석 대상이었으나 스마트폰과 태블릿 PC, NAS(Network Attached Storage) 서버 등 다양한 IT기기가 보급되면서 이들 기기에서 사용되는 파일시스템을 추가적인 분석이 필요하다. 따라서 본 논문에서는 추가적으로 분석해야할 파일 시스템의 종류를 나열하고 각각의 특성을 서술하여 향후 추가 분석의 지침으로 활용하고자한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1138-1141
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• 2008

현재 컴퓨터와 인터넷, 정보기술의 발전은 사용자에게 편리함을 가져다 주었으나, 사이버 범죄라는 새로운 역기능을 가지게 되었다. 결국 이는 특정 목적을 가진 범죄자를 낳게되고 정보화 사회의 발전을 저해하는 커다란 걸림돌로 작용하게 되었으며, 이에 대응하는 정보보호기술은 개인의 사생활 보호와 국가 경쟁력을 판단하는 척도로 자리잡게 되었고, 현대에는 정보보호 기술 자체가 국가 간 정보전 형태를 띠면서 그 중요성은 매우 커지고 있다. 이러한 정보보호 기술은 방화벽과 침입탐지 시스템의 꾸준한 개발로 이어졌으나, 아직 컴퓨터 범죄를 다루는 피해 시스템의 증거수집, 복구 및 분석을 하는 컴퓨터 포렌식 기술은 아직 활발히 연구되지는 않고 있다. 본 연구에서는 로그파일이 기록되는 시간의 웹 URL 페이지 이미지를 저장하여 이미지 로그파일을 만드는 멀티 쓰레드 TCP 서버를 구현하여 컴퓨터 사이버범죄에 대한 증거자료로서 디지털 포렌식인 이미지 로그파일을 제안하여 보았다.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.153-162
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• 2020

Digital image forgery detection is one of very important fields in the field of digital forensics. As the forged images change naturally through the advancement of technology, it has made it difficult to detect forged images. In this paper, we use passive forgery detection for copy paste forgery in digital images. In addition, it detects copy-paste forgery using the L₀ Norm-based LE operator, and compares the detection accuracy with the forgery detection using the existing L₂, L₁ Norm-based LE operator. In comparison of detection rates, the proposed lower triangular(Ayalneh and Choi) window was more robust to BAG mismatch detection than the conventional window filter. In addition, in the case of using the lower triangular window, the performance of image forgery detection was measured increasingly higher as the L₂, L₁ and L₀ Norm LE operator was performed.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.7
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• pp.307-314
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• 2017

Stick-PC is small and portable, So it can be used like a desktop if you connect it to a display device such as a monitor or TV anytime and anywhere. Accordingly, Stick-PC can related to various crimes, and various evidence may remain. Stick-PC uses the same Windows version of the operating system as the regular Desktop, the artifacts to be analyzed are the same. However, unlike the Desktop, it can be used as a meaningful information for forensic investigation if it is possible to identify the actual user and trace the usage by finding the traces of peripheral devices before analyzing the system due to the mobility. In this paper, We presents a method of collecting images using Bootable OS, which is one of the image collection methods of Stick-PC. In addition, we show how to analyze the trace of peripheral connection and network connection trace such as Display, Bluetooth through the registry and event log, and suggest the application method from the forensic point of view through experimental scenario.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.6
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• pp.79-84
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• 2015

In a distribution of digital image, there is a serious problem that is a distribution of the altered image by a forger. For the problem solution, this paper proposes a median filtering (MF) image forensic decision algorithm using a feature vector according to the pixel value's gradients. In the proposed algorithm, AR (Autoregressive) coefficients are computed from pixel value' gradients of original image then 1th~6th order coefficients to be six feature vector. And the reconstructed image is produced by the solution of Poisson's equation with the gradients. From the difference image between original and its reconstructed image, four feature vector (Average value, Max. value and the coordinate i,j of Max. value) is extracted. Subsequently, Two kinds of the feature vector combined to 10 Dim. feature vector that is used in the learning of a SVM (Support Vector Machine) classification for MF (Median Filtering) detector of the altered image. On the proposed algorithm of the median filtering detection, compare to MFR (Median Filter Residual) scheme that had the same 10 Dim. feature vectors, the performance is excellent at Unaltered, Averaging filtering ($3{\times}3$) and JPEG (QF=90) images, and less at Gaussian filtering ($3{\times}3$) image. However, in the measured performances of all items, AUC (Area Under Curve) by the sensitivity and 1-specificity is approached to 1. Thus, it is confirmed that the grade evaluation of the proposed algorithm is 'Excellent (A)'.

• Journal of Digital Forensics
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• v.12 no.3
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• pp.109-120
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• 2018

The smartphone is the communication device that is the most personal to the user, and it keeps a lot of information related to the user and makes information communication with other devices. With these characteristics, forensics on smartphones are one of the most basic methods of investigation in criminal investigations, and have actually contributed to the settlement of the case by providing many clues. However, recently, it is designed to encrypt data stored as a social issue related to the protection of user's personal information, or to delete deleted data or to delete log data together. So, any solutions? In this paper, I try to find the answer from cloud data stored by smartphone user account. Cloud forensics should approach complementary relationships rather than smartphone forensics. There are a lot of data stored in the cloud that can be meaningfully used in the investigation. Online activity information of users, such as Internet usage, YouTube view, and contents purchase information, cloud service such as e-mail, cloud drive, and location information are the most representative data. These data can be unvaluable, but here are some important clues in various types of criminal investigations. In this paper, I propose a method to extract data from the google cloud so that the data can be used for investigation, and to utilize the extracted data for investigation. And it explains the role of the extracted artifacts in the actual investigation business through virtual cases and proves its value.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.6A
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• pp.163-177
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• 2008

As many companies are considering to use server virtualization technology to reduce cost, the crime rates in virtual server environment are expected to be increasing rapidly. The server virtualization solution has a basic function to produce virtual machine images without using any other disk imaging tools, so that investigating virtual servers are more efficient because the investigator only has to collect the virtual machine image and submit it to the court. However, the virtual machine image has no admissibility to be the legal evidence because of security, authenticity, procedural problems in collecting virtual machine images on virtual servers. In this research, we are going to provide requirements to satisfy security, authenticity and chain of custody conditions for the admissibility of the virtual machine image in server virtualization environment. Additionally, we suggest definite roles and driving plans for related organizations to produce virtual machine image as a admissible evidence.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.3
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• pp.471-485
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• 2023

Recently, due to the nature of blockchain that guarantees users' anonymity, more and more cases are being exploited for crimes such as illegal transactions. However, cryptocurrency is protected in cryptocurrency wallets, making it difficult to recover criminal funds. Therefore, this study acquires artifacts from the data and memory area of a local PC based on user behavior from four browser extension wallets (Metamask, Binance, Phantom, and Kaikas) to track and retrieve cryptocurrencies used in crime, and analyzes how to use them from a digital forensics perspective. As a result of the analysis, the type of wallet and cryptocurrency used by the suspect was confirmed through the API name obtained from the browser's cache data, and the URL and wallet address used for the remittance transaction were obtained. We also identified Client IDs that could identify devices used in cookie data, and confirmed that mnemonic code could be obtained from memory. Additionally, we propose an algorithm to measure the persistence of obtainable mnemonic code and automate acquisition.