Data Security in Hadoop Distributed File System

In past few years, cloud computing has grown and more successful due to its capability of providing to users on-demand, reliable, flexible, and low-cost services. With the number of cloud applications is increasing, the data security becomes an major concern in the cloud. The open source software Hadoop distributed file system (HDFS) is used to build cloud storage system which will allow to store large data with high throughput and fault tolerance. Originally the Hadoop system was designed without any security model, so security is the major weakness of Hadoop in its development. As far as storage of sensitive data is concerned in the Hadoop, data security will be an important issue. With the increase in the acceptance of Hadoop, there is also raising trend in incorporating more and more security features in enterprises. Also demand of encryption of the data is increased to secure the confidential data and to prevent privacy rule violation. Over the period of recent years efforts have been made in order to obtain some level of security in Hadoop such as Kerberos and Transparent Data Encryption (TDE) for Hadoop. In this paper, efforts have been made to describe present security in Hadoop Distributed File System.