• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.105-110
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• 2011

악의적 목적을 가진 Hacker는 Google의 검색 기능과 키워드 사용을 이용해 인터넷 상에 존재하는 개인정보를 탈취하거나 웹페이지의 취약성, 해킹 대상에 대한 정보들을 수집할 수 있다. Google의 검색 결과 인터넷에서는 수많은 개인정보가 검색되고, 이중에는 타인에게 노출되지 않아야 하는 개인의 이력서, 기업의 기밀자료, 관리자의 ID, Password 등도 인터넷 상에서 보안되지 않은 상태로 존재하고 있다. 본 논문에서는 Google을 이용한 정보검색과 정보탈취에 대해 연구하고, 개인 탈취 정보를 이용한 침해사고와 포렌식 자료 생성에 관한 기술과 보안방안을 제안한다. 본 논문 연구를 통하여 인터넷 검색 결과에 대한 보안 취약성 보완의 기술 발전과 기초자료로 활용될 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.221-223
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• 2023

오늘날 전 세계적으로 연결되어 있는 인터넷을 통해 사용자들은 아무런 제약 없이 의사소통 및 거래 등 다양한 활동을 할 수 있게 되었다. 그러나 이러한 인터넷상의 자유를 범죄의 수단으로 한 인터넷상의 사이버 범죄가 급속하게 증가하고 있다. 특히 인터넷 중 하나로 분류되는 다크웹에서는 심각한 중대 범죄들이 많이 발생하고 있는데, 다크웹은 일반 네트워크와 달리 암호화 기술을 사용하는 특정 네트워크를 통해서만 접속이 가능하기 때문에 사용자에게 익명성과 비밀성을 제공할 수 웹 사이트이다. 이러한 다크웹의 특성으로 인해 마약 거래, 아동 포르노 유포, 개인정보 유출 등 다양한 사이버 범죄가 발생하고 있다. 본 논문에서는 이러한 다크웹 상에서 발생하는 주요 범죄 사례를 알아보고 이에 대한 포렌식 수사 기법의 동향을 살펴보고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.139-145
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• 2009

This study proposes a model of collection process for real-time forensic data, in which the manager was to respond to infringement incidents in terms of system operation and inspection and to collect, analyze and restore forensic data immediately after an incident took place. The suggested model was modeled in seven processes according to functional elements. Unlike the old and managerial forensic processes, the model allowed the manager to react to infringement incidents in the aspects of system operation and inspection and to follow the processes of collecting, analyzing, and restoring forensic data in case of an incident. There also was a feedback process designed towards the step of gathering forensic data through the stages of systematizing reaction strategies in order that he or she be able to bring about comprehensive and structural responses to an incident like the former processes in which it is difficult to bring about instant responses.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.4
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• pp.1-8
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• 2012

The NTFS journaling file($LogFile) is used to keep the file system clean in the event of a system crash or power failure. The operation on files leaves large amounts of information in the $LogFile. Despite the importance of a journal file as a forensic evidence repository, its structure is not well documented. The researchers used reverse engineering in order to gain a better understanding of the log record structures of address parts, and utilized the address for identifying object files to gain forensic information.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.223-226
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• 2010

iPhone and Smart Phone domestic markets are activated with domestic coming out of galaxy S together and the users are increasing. It follows hereupon and with forensic techniques for the cellular phone relation criminal evidence collection of data of existing the mobile forensic engineering research is necessary in about Smart Phone where it has become new techniques and WiFi etc. Convergence. It respects Smart Phone OS star forensic technique and a tool research, iPhone Apple MAC OS X and it researches galaxy S Google Android from the present paper. Smart it uses SYN methods with Phone OS star forensic techniques and it researches in order mobile forensic description below it observes it sees and forensic application methods computer forensic methods and the tools and it researches forensic techniques. The present paper research as IT powerful country will contribute in Smart Phone forensic technical advances of Korea.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.4
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• pp.95-102
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• 2016

Computer security incident such as confidential information leak and data destruction are constantly growing and it becomes threat to information in digital devices. To respond against the incident, digital forensic techniques are also developing to help digital incident investigation. With the development of digital forensic technology, a variety of forensic artifact has been developed to trace the behavior of users. Also, a diversity of forensic tool has been developed to extract information from forensic artifact. However, there is a issue that information from forensic tools has its own forms. To solve this problem, it needs to process data when it is output from forensic tools. Then it needs to compare and analyze processed data to identify how data is related each other and interpret the implications. To reach this, it calls for effective method to store and output data in the course of data processing. This paper aims to propose DFIOC (Digital Forensic Indicators Of Compromise) that is capable of transcribing a variety of forensic artifact information effectively during incident analysis and response. DFIOC, which is XML based format, provides "Evidence" to represent various forensic artifacts in the incident investigation. Furthermore, It provides "Forensic Analysis" to report forensic analysis result and also gives "Indicator" to investigate the trace of incidence quickly. By logging data into one sheet in DFIOC format for forensic analysis process, it is capable of avoiding unnecessary data processing. Lastly, since collected information is recorded in a normalized format, data input and output becomes much easier as well as it will be convenient to use for identification of collected information and analysis of data relationship.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.466-469
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• 2014

기존 Window8 Style 에 대한 디지털 포렌식 연구는 윈도우 기본 애플리케이션에 대해서만 진행되어 있는 상황이고, 다른 3rd party Style App 들에 대해서만 진행되어있는 상황이다. 본 논문에서는 Window8 Style UI 의 Instant Messengers 에 대해 디지털 포렌식 분석하고 이를 통해 범인의 행동 흐름 파악 및 증거확보 매커니즘을 제시하고자 한다. 본 논문은 기존의 Window8 의 접근방법을 토대로 하여, Style App 의 사용흔적이나 내용에 대해 확인하며, 시간정보, 이미지 등 각종 애플리케이션들을 다각적으로 분석한다. 본 논문에서 제안한 접근법은 개별 App 들에 대한 정보를 효율적이고 빠르게 분석하고 사건에 대한 정보를 제공함으로써 범죄수사과정에 도움이 될 것으로 기대된다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1421-1433
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• 2015

For an accurate analysis through the forensic of digital devices and computer, it is a very important validation of the reliability of digital forensic tools. To verify the reliability of the tool, it is necessary to research and development of the data set to be input to the tool. In many-used Windows operating system of the computer, there is a Window forensic artifacts associated with time and system behavior. In this paper, we developed a set of data in the Windows operating system to be able to analyze all of the two Windows artifacts and we conducted a test with published digital forensic tools. Therefore, the developed data set presents the use of the following method. First, artefacts education for growing ability can be analyzed acts standards. Secondly, the purpose of tool tests for verifying the reliability of digital forensics. Lastly, recyclability for new artifact analysis.

• 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 Society of Computer and Information
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• v.17 no.11
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• pp.101-105
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• 2012

Various social problems through violating personal information and privacy are growing with the rapid spread of smartphones. For this reason, variety of researches and technology developments to protect personal information being made. The smartphone, contains almost all of the personal information, can cause data spill at any time. Collecting or analyzing evidence is not an easy job with forensic analyzing tool. Android forensics research has been focused on techniques to collect and analyze data from non-volatile memory but research for volatile data is very slight. Android log is the non-volatile data that can be collected by volatile storage. It is enough to use as a material to track the usage of the Android phone because all of the recent driven records from system to application are stored. In this paper, we propose a method to respond to determining the existence of personal information leakage by filtering logs without forensic analysis tools.