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Proceedings of the International Conference on Data Engineering and Communication Technology pp 1–9Cite as

Experimental Analysis on Big Data in IOT-Based Architecture

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 469))

Abstract

In this paper, we are going to discuss about big data processing for Internet of Things (IOT) based data. Our system extracts information within specified time frame. Data tracker or interface tracks information directly from big data sources. Data tracker transfers data clusters to data controller. Data controller processes each data cluster and makes them smaller after removing possible redundancies. Big data processing is a challenge to maintain data privacy-related protections. Data controller processes big data clusters and sends them through secure and/or hidden channels maintaining data privacy.

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Author information

Authors and Affiliations

  1. Netaji Subhash Engineering College, Kolkata, 700152, India

    Anupam Bera, Anirban Kundu, Nivedita Ray De Sarkar &  De Mou

  2. Computer Innovative Research Society, Howrah, 711103, West Bengal, India

    Anupam Bera, Anirban Kundu, Nivedita Ray De Sarkar &  De Mou

Authors
  1. Anupam Bera
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  2. Anirban Kundu
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  3. Nivedita Ray De Sarkar
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  4. De Mou
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Corresponding author

Correspondence to Anupam Bera .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Sabar Institute of Technology, Tajpur, Sabarkantha, Gujarat, India

    Amit Joshi

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© 2017 Springer Science+Business Media Singapore

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Cite this paper

Bera, A., Kundu, A., De Sarkar, N.R., De Mou (2017). Experimental Analysis on Big Data in IOT-Based Architecture. In: Satapathy, S., Bhateja, V., Joshi, A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 469. Springer, Singapore. https://doi.org/10.1007/978-981-10-1678-3_1

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  • DOI: https://doi.org/10.1007/978-981-10-1678-3_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1677-6

  • Online ISBN: 978-981-10-1678-3

  • eBook Packages: EngineeringEngineering (R0)

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