• Journal of Information Processing Systems
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• v.14 no.2
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• pp.346-376
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• 2018

Digital forensics is a vital part of almost every criminal investigation given the amount of information available and the opportunities offered by electronic data to investigate and evidence a crime. However, in criminal justice proceedings, these electronic pieces of evidence are often considered with the utmost suspicion and uncertainty, although, on occasions are justifiable. Presently, the use of scientifically unproven forensic techniques are highly criticized in legal proceedings. Nevertheless, the exceedingly distinct and dynamic characteristics of electronic data, in addition to the current legislation and privacy laws remain as challenging aspects for systematically attesting evidence in a court of law. This article presents a comprehensive study to examine the issues that are considered essential to discuss and resolve, for the proper acceptance of evidence based on scientific grounds. Moreover, the article explains the state of forensics in emerging sub-fields of digital technology such as, cloud computing, social media, and the Internet of Things (IoT), and reviewing the challenges which may complicate the process of systematic validation of electronic evidence. The study further explores various solutions previously proposed, by researchers and academics, regarding their appropriateness based on their experimental evaluation. Additionally, this article suggests open research areas, highlighting many of the issues and problems associated with the empirical evaluation of these solutions for immediate attention by researchers and practitioners. Notably, academics must react to these challenges with appropriate emphasis on methodical verification. Therefore, for this purpose, the issues in the experiential validation of practices currently available are reviewed in this study. The review also discusses the struggle involved in demonstrating the reliability and validity of these approaches with contemporary evaluation methods. Furthermore, the development of best practices, reliable tools and the formulation of formal testing methods for digital forensic techniques are highlighted which could be extremely useful and of immense value to improve the trustworthiness of electronic evidence in legal proceedings.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.8
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• pp.349-356
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• 2013

As various features of the smartphone have been used, a lot of information have been stored in the smartphone, including the user's personal information. However, a frequent update of the operating system and applications may cause a loss of data and a risk of missing important personal data. Thus, the importance of data backup is significantly increasing. Many users employ the backup feature to store their data securely. However, in the point of forensic view these backup files are considered as important objects for investigation when issued hiding of smartphone or intentional deletion on data of smartphone. Therefore, in this paper we propose a scheme that analyze structure and restore data for Kies backup files of Samsung smartphone which has the highest share of the smartphone in the world. As the experimental results, the suggested scheme shows that the various types of files are analyzed and extracted from those backup files compared to other tools.

• Journal of Information Processing Systems
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• v.10 no.1
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• pp.1-22
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• 2014

Recent technological advances provide the opportunity to use large amounts of multimedia data from a multitude of sensors with different modalities (e.g., video, text) for the detection and characterization of criminal activity. Their integration can compensate for sensor and modality deficiencies by using data from other available sensors and modalities. However, building such an integrated system at the scale of neighborhood and cities is challenging due to the large amount of data to be considered and the need to ensure a short response time to potential criminal activity. In this paper, we present a system that enables multi-modal data collection at scale and automates the detection of events of interest for the surveillance and reconnaissance of criminal activity. The proposed system showcases novel analytical tools that fuse multimedia data streams to automatically detect and identify specific criminal events and activities. More specifically, the system detects and analyzes series of incidents (an incident is an occurrence or artifact relevant to a criminal activity extracted from a single media stream) in the spatiotemporal domain to extract events (actual instances of criminal events) while cross-referencing multimodal media streams and incidents in time and space to provide a comprehensive view to a human operator while avoiding information overload. We present several case studies that demonstrate how the proposed system can provide law enforcement personnel with forensic and real time tools to identify and track potential criminal activity.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.5
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• pp.105-111
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• 2010

SWF(Shock Wave Flash) file is a format file for vector graphics produced by Adobe. It is widely used for a variety of contents such as advertising at websites, widgets, games, education, and videos and it contains various types of data such as sound sources, script, API and images. Many SWF files contain URL information on action script for communication in the network and they can be used as important research data as well as PC users' Web Browser history in terms of forensic investigation. And a decompiler for analyzing SWF files exists by which SWF files can be analysed and URL information can be verified. However, it takes a long time to verify the URL information on action scripts of multiple SWF files by the decompiler. In this paper, analysis of URL information on action scripts and extraction of URL information from multiple SWF files by designing analysis tools for URL information in SWF files is studied.

• 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.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1886-1898
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• 2015

In today’s era of advanced technological developments, the threats to the authenticity and integrity of digital images, in a nutshell, the threats to the Image Forensics Research communities have also increased proportionately. This happened as even for the ‘non-expert’ forgers, the availability of image processing tools has become a cakewalk. This image forgery poses a great problem for judicial authorities in any context of trade and commerce. Block matching based image cloning detection system is widely researched over the last 2-3 decades but this was discouraged by higher computational complexity and more time requirement at the algorithm level. Thus, for reducing time need, various dimension reduction techniques have been employed. Since a single technique cannot cope up with all the transformations like addition of noise, blurring, intensity variation, etc. we employ multiple techniques to a single image. In this paper, we have used Fuzzy logic approach for decision making and getting a global response of all the techniques, since their individual outputs depend on various parameters. Experimental results have given enthusiastic elicitations as regards various transformations to the digital image. Hence this paper proposes Fuzzy based cloning detection and classification system. Experimental results have shown that our detection system achieves classification accuracy of 94.12%. Detection accuracy (DAR) while in case of 81×81 sized copied portion the maximum accuracy achieved is 99.17% as regards subjection to transformations like Blurring, Intensity Variation and Gaussian Noise Addition.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.71-76
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• 2007

정보 통신기술의 발전으로 단말기와 네트워크에 독립적인 부가서비스를 이용할 수 있는 개방형 가입자인증 카드인 USIM(Universal Subscriber Identification Module) 카드가 이용되고 있다. 모바일 정보기기의 성능 향상으로 다양한 기능이 추가되고 USIM에 저장된 개인정보의 중요성이 부각되어 범죄 도구로 이용될 가능성이 높아 졌으며 법정 증거자료로서의 중요성도 증가되었다. 모바일 포렌식은 기존의 데이터 저장장치와는 다른 파일시스템을 가지고 있기 때문에 거기에 맞는 전용 포렌식 툴들이 필요하며, USIM과 관련된 범죄가 일어날 때, 자료의 복구와 빠른 검사를 통해 법적 증거화 시킬 수 있는 USIM 포렌식 틀을 요구한다. 본 논문에서는 USIM의 기본적인 구조와 파일시스템을 분석하고 USIM 포렌식 관점에서 증거화 시킬 수 있는 다양한 유형과 절차들을 알아보고, 현재 사용 중인 USIM 포렌식 툴들에 대해 비교 분석한다.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.11
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• pp.461-470
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• 2013

This paper proposes high speed kernel data collection method for analysis of memory workload, using technique of direct access to process's memory management structure. The conventional analysis tools have a slower data collection speed and they are lack of scalability due to collection only formalized memory information. The proposed method collects kernel data much faster than the conventional methods using technique of direct collect to process's memory information, page table, page structure in the memory management structure, and it can collect data which user wanted. We collect memory management data of the running process, and analyze its memory workload.

• Korean Journal of Culture and Social Issue
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• v.10 no.2
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• pp.39-77
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• 2004

This literature review introduced the concept of psychopathy which has never been defined academically in Korea. Also it is reviewed how this concept could be applied as latent factor of criminal behavior in the forensic settings. For this purpose, first of all, the periodical change of psychopathy definition was explored. Then it was investigated which determinants might develop psychopathy and what would be the behavioral characteristics of psychopaths. Finally, risk assessment tools measuring psychopathy were introduced and their predictive efficacy and applicability in Korean criminal justice system was discussed.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.10
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• pp.421-428
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• 2021

The High Efficiency Image File Format (HEIF) is an MPEG-developed image format that utilizes the video codec H.265 to store still screens in a single image format. The iPhone has been using HEIF since 2017, and Android devices such as the Galaxy S10 have also supported the format since 2019. The format can provide images with good compression rates, but it has a complex internal structure and lacks significant compatibility between devices and software, making it not popular to replace commonly used JPEG (or JPG) files. However, despite the fact that many devices are already using HEIF, digital forensics research regarding it is lacking. This means that we can be exposed to the risk of missing potential evidence due to insufficient understanding of the information contained inside the file during digital forensics investigations. Therefore, in this paper, we analyze the HEIF formatted photo file taken on the iPhone and the motion photo file taken on the Galaxy to find out the information and features contained inside the file. We also investigate whether or not the software we tested support HEIF and present the requirement of forensic tools to analyze HEIF.