SUSPICIOUS TRANSACTION IDENTIFICATION AND RECOVERY IN CASSANDRA DATABASE

Forensic analysis of databases is a challenging and important research field in digital forensics. Most of the applications use databases to store the data. Cassandra is a NoSQL database that offers data replication for high availability, fault-tolerance and ensures no single point of failure. Given its growing popularity, financial institutions have begun to consider Cassandra as a potentially useful database for their organization. Considering the abundant amount of fraud and its implications that can occur at financial institutions, it is needed to ensure that no suspicious transaction on the Cassandra database goes unnoticed by the organization. In addition, being able to recover lost data due to malicious activities is equally necessary. This article presents a tool which helps in identifying suspicious transactions in a financial institution and an option to recover that data.