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Australasian Conference on Information Security and Privacy

ACISP 2016: Information Security and Privacy pp 376–388Cite as

Secure and Traceable Framework for Data Circulation

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9722))

Abstract

To date the rapid growth of big data processing and its circulation among multiple organizations incur both promising prospects and security challenges for the corresponding technologies, such as data management, data analysis and so on. Efficient and secure data traceability is of critical importance for big data circulation, especially for cloud service applications which are not fully trusted and the risk of leakage of sensitive personal information. In this paper, we propose a framework for mutual traceability for data circulation and secure outsourced computation in data-centric cloud service. Our construction is built on top of searchable attribute-based proxy re-encryption. We enable both data owner and data user to trace their data circulation or perform privacy-preserving feedback. Specifically, the system enables data owners to efficiently distribute and trace his/her data to a specified group of cloud service providers who match a security/privacy policy and meanwhile, the data, maintaining its traceable property, can be further updated after being shared. The new mechanism is applicable to many real-world big data applications. Finally, our framework is proved chosen ciphertext secure in the random oracle model.

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Acknowledgement

Atsuko Miyaji is supported by Grant-in-Aid for Scientific Research (C) KAKENHI (5K00183) and (15K00189) and Japan Science and Technology Agency (JST); Chunhua Su is supported Grant-in-Aid for Scientific Research KAKENHI (B) 15K16005.

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Authors and Affiliations

  1. Department of Computer Science, Aalto University, School of Science and Technology, P.O. Box 15400, 00076, Aalto, Finland

    Kaitai Liang

  2. Department of Information and Communications Technology, Graduate School of Engineering, Osaka University, 1-1 Yamadaoka, Suita, Osaka, 565-0871, Japan

    Atsuko Miyaji & Chunhua Su

  3. Crest, Japan Science and Technology Agency, Honcho, Kawaguchi-shi, Saitama, 332-0012, Japan

    Atsuko Miyaji

Authors
  1. Kaitai Liang
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  2. Atsuko Miyaji
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  3. Chunhua Su
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Corresponding author

Correspondence to Chunhua Su .

Editor information

Editors and Affiliations

  1. Monash University, Melbourne, Victoria, Australia

    Joseph K. Liu

  2. Monash University, Melbourne, Victoria, Australia

    Ron Steinfeld

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© 2016 Springer International Publishing Switzerland

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Liang, K., Miyaji, A., Su, C. (2016). Secure and Traceable Framework for Data Circulation. In: Liu, J., Steinfeld, R. (eds) Information Security and Privacy. ACISP 2016. Lecture Notes in Computer Science(), vol 9722. Springer, Cham. https://doi.org/10.1007/978-3-319-40253-6_23

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  • DOI: https://doi.org/10.1007/978-3-319-40253-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40252-9

  • Online ISBN: 978-3-319-40253-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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