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An Effective Search Scheme Based on Semantic Tree Over Encrypted Cloud Data Supporting Verifiability

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Abstract

With the increasing popularity of cloud computing, more and more sensitive or private information is being outsourced to cloud server. For protecting data privacy, sensitive data are always encrypted before being outsourced. Although the existing searchable encryption schemes enable users to search over encrypted data, these schemes support only exact keyword search, which greatly affects data usability. Moreover, these schemes do not support verifiability of search result. To tackle the challenge, a smart semantic search scheme is proposed in this paper, which returns not only the result of keyword-based exact match, but also the result of keyword-based semantic match. At the same time, the proposed scheme supports the verifiability of search result.

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Acknowledgements

This work is supported by the NSFC (61373133,61232016, 61173141, 61173142, 61173136, 61103215, 61373132,61272421), GYHY201206033, 201301030, 2013DFG12860, BC2013012, PAPD fund, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Hunan province science and technology plan project fund (2012GK3120), the Scientific Research Fund of Hunan Provincial Education Department (10C0944), and the Prospective Research Project on Future Networks of Jiangsu Future Networks Innovation Institute (BY2013095-4-10).

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Correspondence to Zhangjie Fu .

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Fu, Z., Shu, J., Sun, X. (2015). An Effective Search Scheme Based on Semantic Tree Over Encrypted Cloud Data Supporting Verifiability. In: Tian, J., Jing, J., Srivatsa, M. (eds) International Conference on Security and Privacy in Communication Networks. SecureComm 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-319-23829-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-23829-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23828-9

  • Online ISBN: 978-3-319-23829-6

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