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International Conference on Information and Communications Security

ICICS 2013: Information and Communications Security pp 90–99Cite as

Secure and Private Outsourcing of Shape-Based Feature Extraction

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNSC,volume 8233)

Abstract

There has been much recent work on secure storage outsourcing, where an organization wants to store its data at untrusted remote cloud servers in an encrypted form, such that its own employees can query the encrypted data using weak devices (both computationally and storage-wise). Or a weak client wants to outsource an expensive computational task without revealing to the servers either the inputs or the computed outputs. The framework requires that the bulk of the computational burden of query-processing be placed on the remote servers, without revealing to these servers anything about the data. Most of the existing work in this area deals with non-image data that is keyword based, and the present paper is to deal with raw image data (without any keyword annotations). We demonstrate that shape-based image feature extraction, a particularly computationally intensive task, can be carried out within this framework, by presenting two schemes for doing so, and demonstrating their viability by experimentally evaluating them. Our results can be used in a number of practical situations. In one scenario the client has images and wants to securely outsource shape-based feature extraction on them, in another the server has encrypted images and the client wants a feature-extracted representation of those that are feature-rich.

Keywords

  • Secure Outsourcing
  • Feature Extraction
  • Cloud Service

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Author information

Authors and Affiliations

  1. Computer Science Department, Purdue University, West Lafayette, USA

    Shumiao Wang & Mikhail Atallah

  2. Computer Science and Engineering, Qatar University, Doha, Qatar

    Mohamed Nassar & Qutaibah Malluhi

Authors
  1. Shumiao Wang
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  2. Mohamed Nassar
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  3. Mikhail Atallah
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  4. Qutaibah Malluhi
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Editor information

Editors and Affiliations

  1. Institute of Software, Chinese Academy of Sciences, 100190, Beijing, China

    Sihan Qing & Dongmei Liu & 

  2. Institute for Infocomm Research, Infocom Security Department, 1 Fusionopolis Way, #21-01 Connexis, South Tower, 138632, Singapore, Singapore

    Jianying Zhou

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© 2013 Springer International Publishing Switzerland

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Wang, S., Nassar, M., Atallah, M., Malluhi, Q. (2013). Secure and Private Outsourcing of Shape-Based Feature Extraction. In: Qing, S., Zhou, J., Liu, D. (eds) Information and Communications Security. ICICS 2013. Lecture Notes in Computer Science, vol 8233. Springer, Cham. https://doi.org/10.1007/978-3-319-02726-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-02726-5_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02725-8

  • Online ISBN: 978-3-319-02726-5

  • eBook Packages: Computer ScienceComputer Science (R0)