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Privacy Preserving Cloud Transactions

  • Debmalya Biswas
  • Krishnamurthy Vidyasankar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7566)

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.

Keywords

Cloud Provider Abort Rate Data Owner Encrypt Data Cloud Computing Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Debmalya Biswas
    • 1
  • Krishnamurthy Vidyasankar
    • 2
  1. 1.Nokia Research CenterLausanneSwitzerland
  2. 2.Dept. of Computer ScienceMemorial UniversitySt. John’sCanada

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