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Identity Based Privacy Information Sharing with Similarity Test in Cloud Environment

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Book cover Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11065))

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Abstract

In recent years, great progress has been made in global digital construction, various kinds of methods, such as encryption, isolated storage and firewall, are used to prevent information from stealing. However, the above mentioned technologies severely hinder information sharing, especially in some special areas, such as medical industries in which doctors need to share similar patient’s information to improve the effectiveness of treatment. The premise of sharing information is to find the desired information on encrypted data, although identity based encryption scheme with equality test (IBEET) has been defined as a viable solution, it can only search for the ciphertext formed by the exact same plaintext. In this paper, we firstly propose an efficient identity based privacy information sharing with similarity test in cloud environment. Our scheme can search out similar data of the target data on encrypted content. Besides, we use advanced Locality-Sensitive Hashing function to generate index for data to protect the privacy information of users.

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References

  1. Ahle, T.D., Aumller, M., Pagh, R.: Parameter-free locality sensitive hashing for spherical range reporting, pp. 239–256 (2016)

    Google Scholar 

  2. Andoni, A., Razenshteyn, I.: Tight lower bounds for data-dependent locality-sensitive hashing. Computer Science (2016)

    Google Scholar 

  3. Cui, B., Liu, Z., Wang, L.: Key-aggregate searchable encryption (KASE) for group data sharing via cloud storage. IEEE Trans. Comput. 65(8), 2374–2385 (2016)

    Article  MathSciNet  Google Scholar 

  4. Hahn, F., Kerschbaum, F.: Searchable encryption with secure and efficient updates, pp. 310–320 (2017)

    Google Scholar 

  5. Indyk, P.: Approximate nearest neighbors: towards removing the curse of dimensionality. Department of Computer Science, Stanford University (1998)

    Google Scholar 

  6. Khader, D.: Introduction to attribute based searchable encryption (2016)

    Google Scholar 

  7. Lizunov, P., Biloshchytskyi, A., Kuchansky, A., Biloshchytska, S., Chala, L.: Detection of near duplicates in tables based on the locality-sensitive hashing method and the nearest neighbor method. 6(4(84)), 4–10 (2016)

    Google Scholar 

  8. Luo, Y., Zeng, J., Berger, B., Peng, J.: Low-density locality-sensitive hashing boosts metagenomic binning, p. 255 (2016)

    Google Scholar 

  9. Ma, S.: Identity-based encryption with outsourced equality test in cloud computing. Inf. Sci. Int. J. 328(C), 389–402 (2016)

    MATH  Google Scholar 

  10. Ma, S., Huang, Q., Zhang, M., Yang, B.: Efficient public key encryption with equality test supporting flexible authorization. IEEE Trans. Inf. Forensics Secur. 10(3), 458–470 (2015)

    Article  Google Scholar 

  11. Miao, Y., Ma, J., Liu, Z.: Revocable and anonymous searchable encryption in multi-user setting. Concurr. Comput. Pract. Exp. 28(4), 1204–1218 (2016)

    Article  Google Scholar 

  12. Ming-Fu, L.I., Chen, L.W.: A secure cloud data sharing scheme from identity-based proxy re-encryption. Nat. Sci. J. Xiangtan Univ. (2017)

    Google Scholar 

  13. Tang, Q.: Towards public key encryption scheme supporting equality test with fine-grained authorization. In: Parampalli, U., Hawkes, P. (eds.) ACISP 2011. LNCS, vol. 6812, pp. 389–406. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22497-3_25

    Chapter  Google Scholar 

  14. Wang, Q., He, M., Du, M., Chow, S.S.M., Lai, R.W.F., Zou, Q.: Searchable encryption over feature-rich data. IEEE Trans. Dependable Secure Comput. PP(99), 1 (2016)

    Google Scholar 

  15. Wu, L., Zhang, Y., Choo, K.K.R., He, D.: Efficient and secure identity-based encryption scheme with equality test in cloud computing. Future Gener. Comput. Syst. 73(C), 22–31 (2017)

    Article  Google Scholar 

  16. Yang, G., Tan, C.H., Huang, Q., Wong, D.S.: Probabilistic public key encryption with equality test. In: Pieprzyk, J. (ed.) CT-RSA 2010. LNCS, vol. 5985, pp. 119–131. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-11925-5_9

    Chapter  Google Scholar 

  17. Zhu, Z., Xiao, J., He, S., Ji, Z., Sun, Y.: A multi-objective memetic algorithm based on locality-sensitive hashing for one-to-many-to-one dynamic pickup-and-delivery problem. Inf. Sci. Int. J. 329(C), 73–89 (2016)

    Google Scholar 

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Acknowledgements

This work was supported by the Major Program of National Natural Science Foundation of China (11290141).

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Correspondence to Xiao Zhang .

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Wu, F., Yao, W., Zhang, X., Zheng, Z., Wang, W. (2018). Identity Based Privacy Information Sharing with Similarity Test in Cloud Environment. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11065. Springer, Cham. https://doi.org/10.1007/978-3-030-00012-7_7

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  • DOI: https://doi.org/10.1007/978-3-030-00012-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00011-0

  • Online ISBN: 978-3-030-00012-7

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