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A proposal for automating investigations in live forensics
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Seokhee | - |
| dc.contributor.author | Savoldi, Antonio | - |
| dc.contributor.author | Lim, Kyoung Soo | - |
| dc.contributor.author | Park, Jong Hyuk | - |
| dc.contributor.author | Lee, Sangjin | - |
| dc.date.accessioned | 2021-09-07T23:52:05Z | - |
| dc.date.available | 2021-09-07T23:52:05Z | - |
| dc.date.created | 2021-06-14 | - |
| dc.date.issued | 2010-10 | - |
| dc.identifier.issn | 0920-5489 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/115586 | - |
| dc.description.abstract | In this paper we present an XML-based framework, called XLIVE, which provides an efficient way to collect data in live forensic cases, according to well-known crime categories. XLIVE is a forensic automated framework that can be used in live forensic investigations for gathering live data on a Windows-based system. In addition, we have also implemented a proof-of-concept, called LRDS (Live Resource Detection System). This approach of examination will be used extensively to deal with terabyte/petabyte digital systems, where other approaches, such as a post-mortem analysis, cannot be adopted. (C) 2009 Elsevier B.V. All rights reserved. | - |
| dc.language | English | - |
| dc.language.iso | en | - |
| dc.publisher | ELSEVIER SCIENCE BV | - |
| dc.title | A proposal for automating investigations in live forensics | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Lee, Sangjin | - |
| dc.identifier.doi | 10.1016/j.csi.2009.09.001 | - |
| dc.identifier.scopusid | 2-s2.0-77955339339 | - |
| dc.identifier.wosid | 000279596100003 | - |
| dc.identifier.bibliographicCitation | COMPUTER STANDARDS & INTERFACES, v.32, no.5-6, pp.246 - 255 | - |
| dc.relation.isPartOf | COMPUTER STANDARDS & INTERFACES | - |
| dc.citation.title | COMPUTER STANDARDS & INTERFACES | - |
| dc.citation.volume | 32 | - |
| dc.citation.number | 5-6 | - |
| dc.citation.startPage | 246 | - |
| dc.citation.endPage | 255 | - |
| 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, Hardware & Architecture | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
| dc.subject.keywordAuthor | Digital evidence collection | - |
| dc.subject.keywordAuthor | Live forensics | - |
| dc.subject.keywordAuthor | Automated digital investigation process | - |
| dc.subject.keywordAuthor | XML technology | - |
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Related Researcher
- LEE, SANG JIN
- Department of Information Security