Abstract

Information security policy demands auditing for the high performance databases for ensuring data integrity and also to detect database tampering if any. Relational database uses auditing capabilities, which involves examination of information and operations for accuracy, legality and propriety to report risks and to make recommendations to promote sound-operating practices. Database auditing is the process to be carried out on continuous basis. This records and analyzes the database activity for reporting on some period. But the database can be tampered deliberately or accidentally by authorized or unauthorized users at any instance bypassing auditing system too. The suspected behaviour with invalid access to the database must be inspected and analyzed further with database forensics. In this research paper a framework is proposed for analyzing and reconstructing the activity of any unsuspicious behaviour within database. The purpose is to identify, collect, analyze, validate, interpret, generate forensic report and preserve the evidence for digital investigations. To prove in the concept, the database MySQL database 5.5 is studied and analyzed for this proposed framework.

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