Database forensic investigation based on table relationship analysis techniques

Dongchan Lee, Jaemin Choi, Sangjin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Most company and organizations manage personnel, account, logistics etc through the database system. The business data stored these database is very important to investigate company dishonest act in the view of the digital forensics. However, it is difficult to extract meaningful data without blueprints because the table inside the database has exceedingly complicated relation and the role of the table and field in the table was so ambiguous. If we don't obtain the database's database or even if we get, but don't understand relationship in the table and meaning of each field, we cannot obtain the significant evidences. Therefore, the investigator should confirm the contents of the database blueprints and check the relationship between the table and hidden table which unsigned blueprints. In this paper, we improve the DBRE (database reverse engineering) process and analyze the table relationship of database and data extraction method in the view of the digital forensics. Moreover we proposed the efficient tool which more easily acquires digital evidences from databases using table relationship and data extraction.

Original languageEnglish
Title of host publicationProceedings of the 2009 2nd International Conference on Computer Science and Its Applications, CSA 2009
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 2nd International Conference on Computer Science and Its Applications, CSA 2009 - Jeju Island, Korea, Republic of
Duration: 2009 Dec 102009 Dec 12

Publication series

NameProceedings of the 2009 2nd International Conference on Computer Science and Its Applications, CSA 2009

Other

Other2009 2nd International Conference on Computer Science and Its Applications, CSA 2009
CountryKorea, Republic of
CityJeju Island
Period09/12/1009/12/12

Keywords

  • DB forensic
  • ERP
  • Table relationship

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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    Lee, D., Choi, J., & Lee, S. (2009). Database forensic investigation based on table relationship analysis techniques. In Proceedings of the 2009 2nd International Conference on Computer Science and Its Applications, CSA 2009 [5404235] (Proceedings of the 2009 2nd International Conference on Computer Science and Its Applications, CSA 2009). https://doi.org/10.1109/CSA.2009.5404235