Performance Analysis of Proposed Database Tamper Detection Technique for MongoDB

Abstract

Database tamper detection is identifying the change in the old state and new state of database systems. There is a change in the state of database mostly with three kinds of operations namely insert, update and delete. Dropping the database or entire table will also affect the state of the database. Data is very precious to any individual or organization and data tampering will have serious ramifications. Now considering data as an asset of the organization, the protection of this data is supremely important. The tamper detection technique for the MongoDB database is proposed here, which identifies the operation that has altered the part of the database. This paper presents the performance analysis of the proposed technique in terms of computational time.