Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

비할당 영역 데이터 파편의 문서 텍스트 추출 방안에 관한 연구

Full metadata record
DC Field Value Language
dc.contributor.author유병영-
dc.contributor.author박정흠-
dc.contributor.author방제완-
dc.contributor.author이상진-
dc.date.accessioned2021-09-08T08:25:24Z-
dc.date.available2021-09-08T08:25:24Z-
dc.date.created2021-06-17-
dc.date.issued2010-
dc.identifier.issn1598-3986-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/118025-
dc.description.abstractIt is meaningful to investigate data in unallocated space because we can investigate the deleted data. Consecutively complete file recovery using the File Carving is possible in unallocated area, but noncontiguous or incomplete data recovery is impossible. Typically, the analysis of the data fragments are needed because they should contain large amounts of information. Microsoft Word, Excel, PowerPoint and PDF document file's text are stored using compression or specific document format. If the part of aforementioned document file was stored in unallocated data fragment, text extraction is possible using specific document format. In this paper, we suggest the method of extracting a particular document file text in unallocated data fragment.-
dc.languageKorean-
dc.language.isoko-
dc.publisher한국정보보호학회-
dc.title비할당 영역 데이터 파편의 문서 텍스트 추출 방안에 관한 연구-
dc.title.alternativeA Study on Extracting the Document Text for Unallocated Areas of Data Fragments-
dc.typeArticle-
dc.contributor.affiliatedAuthor이상진-
dc.identifier.bibliographicCitation정보보호학회논문지, v.20, no.6, pp.43 - 51-
dc.relation.isPartOf정보보호학회논문지-
dc.citation.title정보보호학회논문지-
dc.citation.volume20-
dc.citation.number6-
dc.citation.startPage43-
dc.citation.endPage51-
dc.type.rimsART-
dc.identifier.kciidART001509012-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorDigital Forensics-
dc.subject.keywordAuthorFile Carving-
dc.subject.keywordAuthorData Fragment-
dc.subject.keywordAuthorText Extraction-
dc.subject.keywordAuthorDigital Forensics-
dc.subject.keywordAuthorFile Carving-
dc.subject.keywordAuthorData Fragment-
dc.subject.keywordAuthorText Extraction-
Files in This Item
There are no files associated with this item.
Appears in
Collections
School of Cyber Security > Department of Information Security > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, SANG JIN photo

LEE, SANG JIN
정보보호학과
Read more

Altmetrics

Total Views & Downloads

BROWSE