• Himani Verma
• Dilbag Singh

Data size of organizations and institutions is growing in size rapidly. Organizations have to process data in terms of petabytes. The traditional database management system fails to process such huge amount of data. So, there was the need to find out an effective mean for handling and processing of such a large amount of data. It gives rise to big data analysis. Size or volume of the data is not only the single criteria to classify big data, but type of data such as structured or semi structured or unstructured also needs to be considered. Semi structured or unstructured data is difficult to manage through traditional database management system. To conquer this huge information issue, Apache delivered a product device named as Hadoop which utilizes MapReduce design to process expansive measure of information. MapReduce architecture processes the data in parallel. Though it gives solution to overcome the big data problem but it does not ensure the security of the stored files in Hadoop. In this paper, an awry key cryptosystem is proposed for the encryption of records put away in HDFS. The proposed cryptosystem is used to encrypt the data before storing into HDFS. The results of the proposed approach provide the security associated with big data.

MapReduce, HDFS, Hadoop, Cryptography.

"Enhancing Security Feature of Hadoop using Data Encryption", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.339-343, November-2018, Available :http://www.jetir.org/papers/JETIR1811553.pdf

"Enhancing Security Feature of Hadoop using Data Encryption", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp339-343, November-2018, Available at : http://www.jetir.org/papers/JETIR1811553.pdf