Discovering Database Tampering through Blockchains


Authors : Dhanika Tannu; Yadnya Bharambe; Aachal Khambekar; Madhura Patil; Snehal Kulkarni; Anita Mahajan

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3xuFEEM

DOI : https://doi.org/10.5281/zenodo.6641394

The volume of the data being stored across the world has been increasing consistently over the past few years. The data that is being received needs to be stored effectively to help understand and also manage the large amount of data. For this purpose, the Relational Databasesare being used to store this data in a row and column based format. This is one of the most common as well as one of the most effective forms of data storage. The RDBMS or Relational Database Management Systems have been one of the most efficient and widely used management systems for the management and storage of the data. The popularity of these systems make it a valuable target by the attackers to achieve unapproved and malicious access into this database. This attack on the RDBMS can cripple systems and lead to a largescale loss of data. Therefore, to provide a solution to this problem and effectively improve the security and forensic analysisof the RDBMS, the approach is being presented this research article which utilizes the blockchain approach to facilitate the forensic report generation using Bilinear Pairing and the detection of the avalanche effect.

Keywords : Database Integrity, Bilinear Pairing, Avalanche Effect, Validation, Notarization, Blockchain.

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