sc 18: e4

Research Article

Protecting and Securing Sensitive Data in a Big Data Using Encryption

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  • @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: Online First},
        volume={},
        number={},
        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
Praveen S. Banasode1,*, Sunita Padmannavar2
  • 1: Jain College of Engineering, Belagavi Affiliated to Visvesvaraya Technological University, Belagavi, India
  • 2: Gogte Institute of Technology, Belagavi, Affiliated to Visvesvaraya Technological University, Belagavi, India
*Contact email: praveenb.jce@gmail.com

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.