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Big Data Security and Privacy: New Proposed Model of Big Data with Secured MR Layer

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Advanced Computing and Systems for Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 883))

Abstract

The publication and dispersal of crude information are urgent components in business, scholarly, and restorative applications. With an expanding number of open stages, for example, informal communities and cell phones from which information might be gathered; the volume of such information have likewise expanded after some time progressed toward becoming as Big Data. The traditional model of Big Data does not specify any level for capturing the sensitivity of data both structured and combined. It additionally needs to incorporate the notion of privacy and security where the risk of exposing personal information is probabilistically minimized. This paper introduced security and privacy layer between HDFS and MR Layer (MapReduce) known as new proposed Secured MapReduce (SMR) Layer and this model is known as SMR model. The core benefit of this work is to promote data sharing for knowledge mining. This model creates a privacy and security guarantee and data utility for data miners. In this model, running time, CPU usage, Memory usage, and Information loss are less as compared to traditional approaches.

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Abbreviations

SMR Layer:

Secured MapReduce Layer

MR:

MapReduce

KVP:

Key-Value Pairs

HDFS:

Hadoop Distributed File System

API:

Application Programming Interface

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Acknowledgements

We acknowledge the support of Madhya Pradesh Council of India. We are also thankful to Dr. Rajesh Wadhvani and Dr.Sri Khetwat Saritha for providing high configuration system facilities form their respective laboratory Information retrieval lab and Machine Learning lab of MANIT Bhopal.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, MANIT, Bhopal, MP, India

    Priyank Jain, Manasi Gyanchandani & Nilay Khare

Authors
  1. Priyank Jain
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  2. Manasi Gyanchandani
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  3. Nilay Khare
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Corresponding author

Correspondence to Priyank Jain .

Editor information

Editors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Rituparna Chaki

  2. Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari, Mestre, Venice, Venezia, Italy

    Agostino Cortesi

  3. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  4. Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

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Jain, P., Gyanchandani, M., Khare, N. (2019). Big Data Security and Privacy: New Proposed Model of Big Data with Secured MR Layer. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 883. Springer, Singapore. https://doi.org/10.1007/978-981-13-3702-4_3

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