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International Conference on Trust and Privacy in Digital Business

TrustBus 2015: Trust, Privacy and Security in Digital Business pp 210–218Cite as

A Privacy Preserving Framework for Big Data in e-Government Environments

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9264))

Abstract

Big data is widely considered as the next big trend in e-Government environments but at the same time one of the most emerging and critical issues due to the challenges it imposes. The large amount of data being retained by governmental Service Providers that can be (potentially) exploited during Data Mining and analytics processes, include personal data and personally identifiable information, raising privacy concerns, mostly regarding data minimization and purpose limitation. This paper addresses the consideration of Central Government to aggregate information without revealing personal identifiers of individuals and proposes a privacy preserving methodology that can be easily incorporated into already deployed electronic services and e-Government frameworks through the adoption of scalable and adaptable salted hashing techniques.

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Notes

  1. 1.

    This work has been supported by the national project “Secure and Privacy-Aware eGovernment Sevices – SPAGOS” (Grant Agreement 11SYN_9_2059), under “SYNERGAGIA 2011” programme, of the Operational programme “Competitiveness and Entrepreneurship”.

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Author information

Authors and Affiliations

  1. Systems Security Laboratory, Department of Digital Systems, University of Piraeus, 18534, Piraeus, Greece

    Prokopios Drogkaris & Aristomenis Gritzalis

Authors
  1. Prokopios Drogkaris
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  2. Aristomenis Gritzalis
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Correspondence to Prokopios Drogkaris .

Editor information

Editors and Affiliations

  1. Karlstad University, Karlstad, Sweden

    Simone Fischer-Hübner

  2. University of Piraeus, Piraeus, Greece

    Costas Lambrinoudakis

  3. University of Malaga, Málaga, Spain

    Javier López

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Drogkaris, P., Gritzalis, A. (2015). A Privacy Preserving Framework for Big Data in e-Government Environments. In: Fischer-Hübner, S., Lambrinoudakis, C., López, J. (eds) Trust, Privacy and Security in Digital Business. TrustBus 2015. Lecture Notes in Computer Science(), vol 9264. Springer, Cham. https://doi.org/10.1007/978-3-319-22906-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-22906-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22905-8

  • Online ISBN: 978-3-319-22906-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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