An Improved Framework for Tamper Detection in Databases

Abstract — The Corporate world, government sector and many organizations has a requirement of secure database system. So due to huge amount of data most of the organizations prefers outsourcing of databases to trusted third parties. In many of the scenarios database tampering is happen due to inside employee of the organizations, so a need of highly efficient tamper detection system is required which answers all the queries of the post crime. Most of the existing methodologies and algorithms are helping to determine when and what of the tampered database. These methodologies generally not restore the pre-tampered original data. The proposed method presents an idea of improved framework for tamper detection in databases where it not only identifies which and what of tampering and also detects who and when parameters of the crime. System effectively uses the xml logs of database to identify the culprit. This boost the idea of forensic analysis for database tampering in huge setups