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Attribute-Based and Keywords Vector Searchable Public Key Encryption

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Smart Computing and Communication (SmartCom 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10135))

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Abstract

Nowadays, for third-party cloud platforms are not fully trustable, in order to ensure data security and user privacy when storing data on cloud servers, many enterprises and users choose to store their data in the ciphertext form. So it is essential to search the needed cryptographic information in the cloud servers. In this paper, we proposed public key encryption module based on the attributes-multi keyword vector. Firstly, we adopt the prime order bilinear pairings method to improve time efficiency. Secondly, we introduced the attribute and keywords vector to optimize the vector encryption algorithm. Finally, considering conditions of the limited resources, we proposed the storage domain differentiation policy to save the computing resources and improve efficiency. In order to verify the result of this module, we built up a system based on jPBC, a Java class library. The result shows that the system can achieve the strict access control and multi-user shared fast search mechanism. In the future, it will be applied to the new medical cloud scenes.

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Acknowledgements

The authors gratefully acknowledge the contribution of the National Science Foundation of China [61572330][61472258], the Natural Science foundation of Guangdong Province [2014A030313554], and the Technology Planning Project (Grant No. 2014B010 118005) from Guangdong Province.

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Correspondence to Yanli Yang .

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Wang, H., Li, J., Yang, Y., Ming, Z. (2017). Attribute-Based and Keywords Vector Searchable Public Key Encryption. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science(), vol 10135. Springer, Cham. https://doi.org/10.1007/978-3-319-52015-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-52015-5_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52014-8

  • Online ISBN: 978-3-319-52015-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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