Publication Type:

Conference Paper


Advances in Intelligent Systems and Computing, Springer , Volume 321, p.199-212 (2015)



Kerberos, MongoDB, NoSQL, Security


Recent developments in information and web technologies have resulted in huge data outburst. This has posed challenging demands in efficiently storing and managing large volume of structured and unstructured data. Traditional relational models exposed its weakness so much so that need for new data storage and management techniques became highly desirable. This resulted in the birth of NoSQL databases. Several business houses that churn out large volume of data have been successfully using NoSQL databases to store bulk of their data. Since the prime objective of such DB’s were efficient data storage and retrieval, core security features like data security techniques, proper authentication mechanisms etc. were given least priority. MongoDB is one among the most popular NoSQL databases. It is a document oriented NoSQL database which helps in empowering business to be more agile and scalable. As MongoDB is gaining more popularity in the IT market, more and more sensitive information is being stored in it and so security issues are becoming a major concern. It does not guarantee privacy of information stored in it. This paper is about enabling security features in MongoDB for safe storage of sensitive information through “MongoKAuth” Driver, a new MongoDB client side component developed in order to automate a lot of manual configuration steps. © Springer International Publishing Switzerland 2015.

Cite this Research Publication

Shiju Sathyadevan, Muraleedharan, N., and Rajan, S. P., “Enhancement of data level security in mongoDB”, in Advances in Intelligent Systems and Computing, 2015, vol. 321, pp. 199-212.