• 제목/요약/키워드: Corrupted Digital File

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Analysis and Detection of Malicious Data Hidden in Slack Space on OOXML-based Corrupted MS-Office Digital Files

  • Sangwon Na;Hyung-Woo Lee
    • International journal of advanced smart convergence
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    • 제12권1호
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    • pp.149-156
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    • 2023
  • OOXML-based MS-Office digital files are extensively utilized by businesses and organizations worldwide. However, OOXML-based MS-Office digital files are vulnerable to forgery and corruption attack by including hidden suspicious information, which can lead to activating malware or shell code being hidden in the file. Such malicious code can cause a computer system to malfunction or become infected with ransomware. To prevent such attacks, it is necessary to analyze and detect the corruption of OOXML-based MS-Office files. In this paper, we examine the weaknesses of the existing OOXML-based MS-Office file structure and analyzes how concealment and forgery are performed on MS-Office digital files. As a result, we propose a system to detect hidden data effectively and proactively respond to ransomware attacks exploiting MS-Office security vulnerabilities. Proposed system is designed to provide reliable and efficient detection of hidden data in OOXML-based MS-Office files, which can help organizations protect against potential security threats.

파일 카빙: 디지털 포렌식을 위한 JPEG 이미지 단편화 지점 감지 (File Carving: JPEG Image Fragmentation Point Detection for Digital Forensics)

  • 누리지드;박동주
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(C)
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    • pp.245-247
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    • 2012
  • We know that JPEG image format is one of the most popular image formats in the digital area and distribution of digital photographic drawing it is interested frequently in certain types of forensic investigation. In most case, corrupted images are shown gaudiness with the boundary of the corrupted parts. In the paper, we propose a technique to carve correct JPEG images using transformation method and the approach can be used for JPEG image file carving tool development.

시간 정보를 활용한 동영상 파일 복원 기법 (Recovery Corrupted Video Files using Time Information)

  • 나기현;심규선;변준석;김은수;이중
    • 한국멀티미디어학회논문지
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    • 제18권12호
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    • pp.1492-1500
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    • 2015
  • In recent crime scene, there is the captured crime scene video at least one. So video files recorded on storage media often provide important evidence. Criminals often attempt to destroy storage saved crime scene video. For this reason recovery of a damaged or deleted video file is important to resolve criminal cases in aspects of digital forensic. In the recent, there is a study to recover video file based on video frames, but it is very poor time efficiency when the connecting video frames. This paper proposed advanced frame-based recovery technique of a damaged video files using time information. We suggest a new connecting algorithm to connect video frames using recorded time information in front of video frame. We also evaluate performance in aspects of time and experiment result shows that proposed method improves performance.

머신러닝 기반 손상된 디지털 파일 내부 은닉 악성 스크립트 판별 시스템 설계 및 구현 (Design and Implementation of a ML-based Detection System for Malicious Script Hidden Corrupted Digital Files)

  • 이형우;나상원
    • 사물인터넷융복합논문지
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    • 제9권6호
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    • pp.1-9
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    • 2023
  • 최근 MS Office 파일 내에 악성 스크립트 등이 은닉된 멀웨어 파일이 발견되고 있다. 이에 본 논문에서는 머신러닝 기법을 적용하여 악성 디지털 파일을 자동으로 검출할 수 있는 시스템을 설계 및 구현하였다. MS Office 파일 내 OLE VBA 매크로 기능을 악용하여 악성 스크립트를 검출하거나, OOXML 구조 분석을 통해 CDH/LFH/ECDH 내부 필드 값에 악성 스크립트를 탐지하고, OOXML 구조에서 참조되지 않는 비정상적인 CDH/LFH 정보를 추가한 경우 이를 검출할 수 있는 메커니즘을 제시하였다. 그리고 VirusTotal 악성 스크립트 판별 기능을 이용하여 MS Office 파일에 대한 악의적 손상 여부 자동 판별하는 기능을 이용하여 머신러닝 기반 통합 소프트웨어를 설계 및 구현하였다. 실험 결과 파일 손상 여부를 자동 판별할 수 있으며 최적의 머신러닝 모델을 이용하여 임의의 MS Office 파일에 대해 향상된 검출 성능을 제공하는 것을 확인하였다.

Floral Image Make-up에 관한 연구 - 조지아 오키프(Georgia O'Keeffe)의 작품을 중심으로 - (Floral Image Make-up - Centered on Georgia O'Keeffe's Paintings -)

  • 김효숙;강인애
    • 대한가정학회지
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    • 제43권11호
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    • pp.97-107
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    • 2005
  • Ed- the file appears to be corrupted, and in many sections (these are highlighted) I cannot read it. I presume it has been copied from another format, maybe Hangul 2004. The purpose of this study was to determine a method of make-up image extraction from specific paintings and also to create cyber make-up models according to the images. For this study, Georgia O'Keeffee's floral paintings were analyzed and their colors were compiled to make color palettes. This study attempted to approach floral image make-up which applies specific paintings through the digital mode in the manner of computer graphics. The results of this study were as follows: First, we found romantic images, including feminine, lovely and soft images by Y, GY and RP group colors, in 'Two Calla Lillies on Pink'. Second, we found modem images, including urban, up-to-date and cool images by G, GY and B group colors, in 'Blue and Green Music'. Third, we found sexy images, including brilliant, tempting and daring by R, B and G group colors, in 'Music-Pink and Blue'. To summarize, the images of the paintings were similar to those of the make-up models.