Data management and protection is one of the biggest factors in any working field or organization and data protection should not be taken lightly. As such, this work is directed towards improving customer’s data stored in a MongoDB database by utilizing proper encryption methodology like RSA-MD5 and RSASHA with suitable padding methodologies. Efficiency of these algorithms is then compared and determined with the variation in storage space between them, and the implementation procedures within this specific MongoDB context. As observed upon implementation, there is a small difference between the storage of MD5 and SHA, with strong focus on each’s security features. Simulations showed that SHA sustained low and steady processed time at the minimum of 0.0021 to 0.0036 s across different record sizes while the processing time of MD5 was significantly higher from 0.0020 to 116.62 s to complete. From this, SHA was found to be more efficient than MD5 and so it appears to be the likely candidate for increasing the efficiency of the subsequent encryption process. This work produces viable results of the impact, as well as the competency of encryption algorithms which helped in the creation of Secure Mongo Data Protection System (SMDPS) utilizing RSA-SHA with OAEP padding. This system is implemented as an atomic operation and it has the capability to prevent access and misuse of data by illegal access. By this, organisations can protect data and sensitive information effectively eradicating organisational inefficiency in similar situations.
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