Research Article
Protecting and Securing Sensitive Data in a Big Data Using Encryption
@ARTICLE{10.4108/eai.13-7-2018.163991, author={Praveen S. Banasode and Sunita Padmannavar}, title={Protecting and Securing Sensitive Data in a Big Data Using Encryption}, journal={EAI Endorsed Transactions on Smart Cities}, volume={4}, number={11}, publisher={EAI}, journal_a={SC}, year={2020}, month={4}, keywords={Advanced Encryption Standard (AES), real-time security monitoring, sensitive data}, doi={10.4108/eai.13-7-2018.163991} }
- Praveen S. Banasode
Sunita Padmannavar
Year: 2020
Protecting and Securing Sensitive Data in a Big Data Using Encryption
SC
EAI
DOI: 10.4108/eai.13-7-2018.163991
Abstract
The Transaction data which contains a sensitive data, a program like a android app or a browser, does not adequately protect information such as unique values or related payment information, more or likely a privacy concern. In most of the cases, security breaches, which involve the unstructured data like documents and files, will reveal all sensitive information. To address this issue the transaction data can be processed across the nodes based on Advanced Encryption Standard(AES) algorithm for generating keys and also by using MapReduce algorithm to check number of sensitive data, where we will partition the data based on set key value pairs, whereby protecting the raw data using real-time security monitoring. The data, which requires an extra protection, needs to be identified, based on that data can be encrypted.
Copyright © 2020 Praveen S. Banasode et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.