R. T. Snodgrass, S. S. Yao and C. Collberg, “Tamper Detection in Audit Logs,” Proceedings of the 30th International Conference on Very Large Data Bases, Toronto, 31 August-3 September 2004.

has been cited by the following article:

• TITLE: Digital Evidence for Database Tamper Detection

  AUTHORS: Shweta Tripathi, Bandu Baburao Meshram

  KEYWORDS: Tamper Detection; Log Files; Forensics; Oracle Database

  JOURNAL NAME: Journal of Information Security, Vol.3 No.2, April 26, 2012

  ABSTRACT: Most secure database is the one you know the most. Tamper detection compares the past and present status of the system and produces digital evidence for forensic analysis. Our focus is on different methods or identification of different locations in an oracle database for collecting the digital evidence for database tamper detection. Starting with the basics of oracle architecture, continuing with the basic steps of forensic analysis the paper elaborates the extraction of suspicious locations in oracle. As a forensic examiner, collecting digital evidence in a database is a key factor. Planned and a modelled way of examination will lead to a valid detection. Based on the literature survey conducted on different aspects of collecting digital evidence for database tamper detection, the paper proposes a block diagram which may guide a database forensic examiner to obtain the evidences.