Abstract
The database forensic investigation plays an important role in the field of computer. The data stored in the database is generally stored in the form of tables. However, it is difficult to extract meaningful data without blueprints of database because the table inside the database has exceedingly complicated relation and the role of the table and field in the table are ambiguous. Proving a computer crime require very complicated processes which are based on digital evidence collection, forensic analysis and investigation process. Current database reverse engineering researches presume that the information regarding semantics of attributes, primary keys, and foreign keys in database tables is complete. However, this may not be the case. Because in a recent database reverse engineering effort to derive a data model from a table-based database system, we find the data content of many attributes are not related to their names at all. Hence database reverse engineering researches is used to extracts the information regarding semantics of attributes, primary keys, and foreign keys, different consistency constraints in database tables. In this paper, different database reverse engineering (DBRE) process such as table relationship analysis and entity relationship analysis are described .We can extracts an extended entity-relationship diagram from a table-based database with little descriptions for the fields in its tables and no description for keys. Also the analysis of the table relationship using database system catalogue, joins of tables, and design of the process extraction for examination of data is described. Data extraction methods will be used for the digital forensics, which more easily acquires digital evidences from databases using table relationship, entity relationship, different joins among the tables etc. By acquiring these techniques it will be possible for the database user to detect database tampering and dishonest manipulation of database.
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