An Alternative Approach to Data Carving Portable Document Format (PDF) Files

Traditional data carving relies on the successful identification of headers and trailers, unique hexadecimal signatures which are exclusive to specific file types. This can present a challenge for digital forensics examiners when pitted against modern anti-forensics techniques. The interest of this...

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Main Authors: Kevin Hughes, Michael Black
Format: Article
Language:English
Published: Kennesaw State University 2024-06-01
Series:Journal of Cybersecurity Education, Research & Practice
Online Access:https://digitalcommons.kennesaw.edu/jcerp/vol2024/iss1/21/
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author Kevin Hughes
Michael Black
author_facet Kevin Hughes
Michael Black
author_sort Kevin Hughes
collection DOAJ
description Traditional data carving relies on the successful identification of headers and trailers, unique hexadecimal signatures which are exclusive to specific file types. This can present a challenge for digital forensics examiners when pitted against modern anti-forensics techniques. The interest of this study is file signature obfuscation, a technique which alters headers and trailers. This research will focus on the development of a new, proof-of-concept algorithm that analyzes content in segments based on unique elements found within the body of a file. The file type being targeted is the Portable Document Format (PDF) and this research is built upon previously successful work by Booker (2021) in Data Carving Against Known File Obfuscation Techniques: A Proposed Data Carving Algorithm where the Joint Photographic Experts Group (JPEG) image file was investigated. The result of this study is the successful identification and recovery of 93.4% of PDF files which had undergone file signature obfuscation.
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spelling doaj-art-b5bdc949d8034e7899f9b63b5d65a0992025-08-20T02:40:14ZengKennesaw State UniversityJournal of Cybersecurity Education, Research & Practice2472-27072024-06-0120241An Alternative Approach to Data Carving Portable Document Format (PDF) FilesKevin Hughes0Michael Black1University of South AlabamaUniversity of South AlabamaTraditional data carving relies on the successful identification of headers and trailers, unique hexadecimal signatures which are exclusive to specific file types. This can present a challenge for digital forensics examiners when pitted against modern anti-forensics techniques. The interest of this study is file signature obfuscation, a technique which alters headers and trailers. This research will focus on the development of a new, proof-of-concept algorithm that analyzes content in segments based on unique elements found within the body of a file. The file type being targeted is the Portable Document Format (PDF) and this research is built upon previously successful work by Booker (2021) in Data Carving Against Known File Obfuscation Techniques: A Proposed Data Carving Algorithm where the Joint Photographic Experts Group (JPEG) image file was investigated. The result of this study is the successful identification and recovery of 93.4% of PDF files which had undergone file signature obfuscation.https://digitalcommons.kennesaw.edu/jcerp/vol2024/iss1/21/
spellingShingle Kevin Hughes
Michael Black
An Alternative Approach to Data Carving Portable Document Format (PDF) Files
Journal of Cybersecurity Education, Research & Practice
title An Alternative Approach to Data Carving Portable Document Format (PDF) Files
title_full An Alternative Approach to Data Carving Portable Document Format (PDF) Files
title_fullStr An Alternative Approach to Data Carving Portable Document Format (PDF) Files
title_full_unstemmed An Alternative Approach to Data Carving Portable Document Format (PDF) Files
title_short An Alternative Approach to Data Carving Portable Document Format (PDF) Files
title_sort alternative approach to data carving portable document format pdf files
url https://digitalcommons.kennesaw.edu/jcerp/vol2024/iss1/21/
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