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Privacy Preserving Cloud Transactions

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2012 (OTM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7566))

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Abstract

Cloud computing as an outsourced data storage platform is becoming popular by the day with multiple service offerings by companies such as Amazon, Microsoft, among others. However to gain wide- spread enterprise level acceptance, cloud providers still need to address the following significant challenges: (a) Data confidentiality: Organizations do not trust cloud providers with their confidential data. One way of ensuring data confidentiality is of course to store data in encrypted form. This in turn requires that data be decrypted before each access. Further, decryption should be enabled only to authorized users. (b) Transactions: Consistent, concurrent and reliable access to data should be provided via transactions, as with traditional databases. (c) User confidentiality: It should be possible to keep the identity of the users executing transactions confidential from the ‘owners’ of data and vice versa.

In this work, we aim to integrate the above objectives providing transactional guarantees over encrypted outsourced data. More specifically, we propose concurrency control protocols for the different cloud sharing configurations, with different confidentiality requirements. Experimental results are given to validate the scalability of the proposed protocols.

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Author information

Authors and Affiliations

  1. Nokia Research Center, Lausanne, Switzerland

    Debmalya Biswas

  2. Dept. of Computer Science, Memorial University, St. John’s, NL, Canada

    Krishnamurthy Vidyasankar

Authors
  1. Debmalya Biswas
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  2. Krishnamurthy Vidyasankar
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Semantic Technology and Application Research Laboratory (STARLab), Vrije Universiteit Brussel, Building G-10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. Research Centre for Automatic Control, School of Engineering in Information Technology, Campus scientifique, University of Lorraine, CNRS, BP 70239, 54506, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. La Trobe University, Melbourne, VIC, Australia

    Tharam Dillon

  4. Faculty of Computer Science, University of Vienna, 1010, Vienna, Austria

    Stefanie Rinderle-Ma

  5. Institute of Databases and Information Systems, Ulm University, Germany

    Peter Dadam

  6. School of Information Technology and Electrical Engineering, University of Queensland, QLD 4072, Brisbane, Australia

    Xiaofang Zhou

  7. HP Labs, Bristol, UK

    Siani Pearson

  8. Johannes Kepler University, Linz, Austria

    Alois Ferscha

  9. Università di Modena e Reggio Emilia, Modena, Italy

    Sonia Bergamaschi

  10. ADVIS Lab, Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA

    Isabel F. Cruz

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© 2012 Springer-Verlag Berlin Heidelberg

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Biswas, D., Vidyasankar, K. (2012). Privacy Preserving Cloud Transactions. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2012. OTM 2012. Lecture Notes in Computer Science, vol 7566. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33615-7_5

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  • DOI: https://doi.org/10.1007/978-3-642-33615-7_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33614-0

  • Online ISBN: 978-3-642-33615-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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