Data concealment and detection in Microsoft Office 2007 files
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Bora | - |
dc.contributor.author | Park, Jungheum | - |
dc.contributor.author | Lee, Sangjin | - |
dc.date.accessioned | 2021-09-08T19:29:24Z | - |
dc.date.available | 2021-09-08T19:29:24Z | - |
dc.date.created | 2021-06-10 | - |
dc.date.issued | 2009-03 | - |
dc.identifier.issn | 1742-2876 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/120530 | - |
dc.description.abstract | As more offenders attempt to conceal incriminating data or stolen information, it is important for forensic examiners and computer security professionals to know where to look for concealed information. This paper demonstrates how data concealment in Microsoft Office 2007 files is possible. The Office Open XML ( OOXML) format forms the basis of Microsoft Office 2007, and an individual can use OOXML to define customized parts, relationships, or both within a Microsoft Office 2007 file to store and conceal information. Fortunately for digital investigators, such concealed data can be detected by looking for the existence of unknown parts or relationships. (C) 2008 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Data concealment and detection in Microsoft Office 2007 files | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Sangjin | - |
dc.identifier.doi | 10.1016/j.diin.2008.12.001 | - |
dc.identifier.scopusid | 2-s2.0-60649094708 | - |
dc.identifier.wosid | 000264926200005 | - |
dc.identifier.bibliographicCitation | DIGITAL INVESTIGATION, v.5, no.3-4, pp.104 - 114 | - |
dc.relation.isPartOf | DIGITAL INVESTIGATION | - |
dc.citation.title | DIGITAL INVESTIGATION | - |
dc.citation.volume | 5 | - |
dc.citation.number | 3-4 | - |
dc.citation.startPage | 104 | - |
dc.citation.endPage | 114 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.subject.keywordAuthor | Microsoft Office 2007 file | - |
dc.subject.keywordAuthor | OOXML | - |
dc.subject.keywordAuthor | Data concealment | - |
dc.subject.keywordAuthor | Hidden data detection | - |
dc.subject.keywordAuthor | Unknown part | - |
dc.subject.keywordAuthor | Unknown relationship | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.