• Convergence Security Journal
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• v.3 no.1
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• pp.7-22
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• 2003

The legal dispute of electronic commerce and computer crimes are increasing because the electronic services like e-government and e-commerce are now widely used. Computer Forensics becomes the method for recovery, preservation, analysis and report regarding digital evidence essential to resolve the legal dispute and computer crime. In this paper, the developmental process of Computer Forensics is discussed. It is intended to elicit constructive discussion regarding the domestic Computer Forensics. And this discussion will be of help to establish the secure e-business and e-government services in the field of the research, legal system and technical skill of domestic Computer Forensics.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.137-148
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• 2011

In the past, the domestic research on mobile forensics has been limited to cell phones. Increasing use of smart phones, studies on smart phone forensic will be conducted actively in the future. In particular, the study on Android forensic is very important because Android smart phone market share is increasing rapidly. In this paper, we describe an implementation of an Android smart phone forensic tool based on logical analysis. Compared with Oxygen Forensic Suite 2010, this tool saves time it takes to perform Android smart phone forensic because this tool provides search feature and resource links for extracted media information. So far, no smart phone forensic tool is introduced in Korea. Accordingly, this tool would contribute to the advancement of the technology on smart phone forensic.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.191-195
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• 2011

Smart Phone의 OS로 많이 사용하는 Android/Windows Mobile Smart Phone의 사용이 급격히 증가하고 있다. 무료 WiFi Zone과 인터넷 사용에 대한 취약점이 존재한다. Mobile Forensic의 증거 자료를 추출하는 방법은 SYN, JTAG, Revolving 방법이 있지만, 기존 휴대폰과 달리 Smart Phone은 OS와 구조, 사용방식과 기술의 차이로 인한 Mobile Forensic 연구 방법도 달라야 한다. 본 논문에서는 Smart Phone에서는 많이 사용되는 Windows Mobile/Android Smart Phone의 OS와 구조 차이를 분석한 데이터 백업과 스펙 분석 및 증거자료 분석을 한다. 또한 무료 WiFi Zone을 통한 인터넷 사용시에 취약점을 분석한다. 그리고 Android/Windows Mobile Smart Phone의 Forensic 자료를 생성하여 증거를 추출하고, Mobile Forensic 보고서를 생성한다. 본 연구를 통하여 Mobile Forensic의 기술 발전에 초석을 제공할 것이다.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.760-773
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• 2020

When a crime occurs, the information necessary for solving the case, and various pieces of the evidence needed to prove the crime are collected from the crime scene. The tangible residues collected through scientific methods at the crime scene become evidence at trial and a clue to prove the facts directly against the offense of the suspect. Therefore, the scientific investigation and forensic handling for securing objective forensic in crime investigation is increasingly important. Today, digital systems, such as smartphones, CCTVs, black boxes, etc. are increasingly used as criminal information investigation clues, and digital forensic is becoming a decisive factor in investigation and trial. However, the systems have the risk that digital forensic may be damaged or manipulated by malicious insiders in the existing centralized management systems based on client/server structure. In this paper, we design and implement a blockchain based digital forensic management model using Hyperledger Fabric and Docker to guarantee the reliability and integrity of digital forensic. The proposed digital evidence management model allows only authorized participants in a distributed environment without a central management agency access the network to share and manage potential crime data. Therefore, it could be relatively safe from malicious internal attackers compared to the existing client/server model.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.680-693
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• 2018

Nowadays, third-party applications form an important part of the mobile environment, and social networking applications in particular can leave a variety of user footprints compared to other applications. Digital forensics of mobile third-party applications can provide important evidence to forensics investigators. However, most mobile operating systems are now updated on a frequent basis, and developers are constantly releasing new versions of them. For these reasons, forensic investigators experience difficulties in finding the locations and meanings of data during digital investigations. Therefore, this paper presents scenario-based methods of forensic analysis for a specific third-party social networking service application on a specific mobile device. When applied to certain third-party applications, digital forensics can provide forensic investigators with useful data for the investigation process. The main purpose of the forensic analysis proposed in the present paper is to determine whether the general use of third-party applications leaves data in the mobile internal storage of mobile devices and whether such data are meaningful for forensic purposes.

• The Journal of Society for e-Business Studies
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• v.14 no.3
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• pp.169-181
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• 2009

As the situations that important evidences or clues are found in digital information devices increase, digital forensic technology is widely applied. In this paper, forensic based audit system is implemented by associating forensic analysis system with agent system which monitors and collects data for analysis in storage devices over distributed network nodes. Forensic audit system implemented in this paper can prevent, audit and trace the computer related crimes in IT infrastructure by real time monitoring and evidence seizure.

• 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.

• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.39-59
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• 2024

An online social network is a platform that is continuously expanding, which enables groups of people to share their views and communicate with one another using the Internet. The social relations among members of the public are significantly improved because of this gesture. Despite these advantages and opportunities, criminals are continuing to broaden their attempts to exploit people by making use of techniques and approaches designed to undermine and exploit their victims for criminal activities. The field of digital forensics, on the other hand, has made significant progress in reducing the impact of this risk. Even though most of these digital forensic investigation techniques are carried out manually, most of these methods are not usually appropriate for use with online social networks due to their complexity, growth in data volumes, and technical issues that are present in these environments. In both civil and criminal cases, including sexual harassment, intellectual property theft, cyberstalking, online terrorism, and cyberbullying, forensic investigations on social media platforms have become more crucial. This study explores the use of machine learning techniques for addressing criminal incidents on social media platforms, particularly during forensic investigations. In addition, it outlines some of the difficulties encountered by forensic investigators while investigating crimes on social networking sites.

• Journal of Information Science Theory and Practice
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• v.11 no.4
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• pp.14-39
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• 2023

Cybercrime is a significant threat to Internet users, involving crimes committed using computers or computer networks. The landscape of cyberspace presents a complex terrain, making the task of tracing the origins of sensitive data a formidable and often elusive endeavor. However, tracing the source of sensitive data in online cyberspace is critically challenging, and detecting cyber-criminals on the other hand remains a time-consuming process, especially in social networks. Cyber-criminals target individuals for financial gain or to cause harm to their assets, resulting in the loss or theft of millions of user data over the past few decades. Forensic professionals play a vital role in conducting successful investigations and acquiring legally acceptable evidence admissible in court proceedings using modern techniques. This study aims to provide an overview of forensic investigation methods for extracting digital evidence from computer systems and mobile devices to combat persistent cybercrime. It also discusses current cybercrime issues and mitigation procedures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.3068-3086
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• 2022

Digital Forensics is gaining popularity in adjudication of criminal cases as use of electronic gadgets in committing crime has risen. Traditional approach to collecting digital evidence falls short when the disk is encrypted. Encryption keys are often stored in RAM when computer is running. An approach to acquire forensic data from RAM when the computer is shut down is proposed. The approach requires that the investigator immediately cools the RAM and transplant it into a host computer provisioned with a tool developed based on cold boot concept to acquire the RAM image. Observation of data obtained from the acquired image compared to the data loaded into memory shows the RAM chips exhibit some level of remanence which allows their content to persist after shutdown which is contrary to accepted knowledge that RAM loses its content immediately there is power cut. Results from experimental setups conducted with three different RAM chips labeled System A, B and C showed at a reduced temperature of -25C, the content suffered decay of 2.125% in 240 seconds, 0.975% in 120 seconds and 1.225% in 300 seconds respectively. Whereas at operating temperature of 25℃, there was decay of 82.33% in 60 seconds, 80.31% in 60 seconds and 95.27% in 120 seconds respectively. The content of RAM suffered significant decay within two minutes without power supply at operating temperature while at a reduced temperature less than 5% decay was observed. The findings show data can be recovered for forensic evidence even if the culprit shuts down the computer.