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Provenance-Aware NoSQL Databases

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Book cover Security in Computing and Communications (SSCC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 625))

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Abstract

NoSQL stores are very widely used for BigData Analytics. These stores are built with inherent scalability and fault tolerance. But there are not much mechanism to provide security guarantees like integrity and auditability. Provenance is a metadata which captures the details of how the data reached its current state. By way of capturing provenance it is possible to enhance the functionality of NoSQL stores to verify the integrity of results. This paper presents an approach to capture provenance of NoSQL databases using logs generated by the database. A proof of concept was implemented in MongoDB and examples are used to illustrate the use of ‘Why provenance’ and ‘How-provenance’ captured.

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Authors and Affiliations

  1. National Institute of Technology Calicut, Kozhikode, India

    Anu Mary Chacko, Munavar Fairooz & S. D. Madhu Kumar

Authors
  1. Anu Mary Chacko
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  2. Munavar Fairooz
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  3. S. D. Madhu Kumar
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Corresponding author

Correspondence to Anu Mary Chacko .

Editor information

Editors and Affiliations

  1. IBM ZURICH RESEARCH LABORATORY, IBM ZURICH RESEARCH LABORATORY, RUESCHLIKON, Switzerland

    Peter Mueller

  2. Technology and Management, Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  3. Temple University, New York, New York, USA

    Md Zakirul Alam Bhuiyan

  4. Computer Science, University of Waikato Computer Science, Hamilton, New Zealand

    Ryan Ko

  5. Deakin University , Burwood, Victoria, Australia

    Robin Doss

  6. University of the West of Scotland , Paisley, Glasgow, United Kingdom

    Jose M. Alcaraz Calero

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© 2016 Springer Nature Singapore Pte Ltd.

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Chacko, A.M., Fairooz, M., Madhu Kumar, S.D. (2016). Provenance-Aware NoSQL Databases. In: Mueller, P., Thampi, S., Alam Bhuiyan, M., Ko, R., Doss, R., Alcaraz Calero, J. (eds) Security in Computing and Communications. SSCC 2016. Communications in Computer and Information Science, vol 625. Springer, Singapore. https://doi.org/10.1007/978-981-10-2738-3_13

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  • DOI: https://doi.org/10.1007/978-981-10-2738-3_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2737-6

  • Online ISBN: 978-981-10-2738-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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