Abstract
Multidimensional data structures are widely used in modern information technologies. They sometimes contain private or other sensitive information. We argue that attribute-based encryption is a handy tool for access control to multidimensional data structures, discussing the advantages and disadvantages of ciphertext-policy and key-policy attribute-based encryption for this task. We propose a scheme of attribute management for multidimensional data structures.
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References
Pedersen, T.: Multidimensional database technology. J. Comput. 34(12), 40–46 (2001)
Jensen, C., Pedersen, T., Thomson, C.: Multidimensional Databases and Data Warehousing. Morgan and Claypool, San Rafael (2010)
Thomsen, E.: OLAP Solutions: Building Multidimensional Information Systems. Wiley, New York (2002)
Sahai, A., Waters, B.: Fuzzy identity-based encryption. In: Cramer, R. (ed.) Advances in Cryptology – EUROCRYPT 2005, vol. 3494, pp. 457–473. Springer, Heidelberg (2005)
Zhenfu, C.: New Directions of Modern Cryptography. CRC Press, Boca Raton (2012)
Sukhodolskiy, I., Zapechnikov, S.: An access control model for cloud storage using attribute-based encryption. In: Proceedings of the 2017 ElConRus, pp. 578–581 (2017)
GOST R 34.12-2015 Information technology. Cryptographic protection of information. Block cyphers. Russian state standard. Moscow, Standartinform (in Russian) (2015)
Gorlatykh, A., Zapechnikov, S.: Challenges of privacy-preserving OLAP techniques. In: Proceedings of the 2017 ElConRus, pp. 404–408 (2017)
Acknowledgments
Authors acknowledge support from the MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005).
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Epishkina, A., Zapechnikov, S. (2018). On Attribute-Based Encryption for Access Control to Multidimensional Data Structures. In: Samsonovich, A., Klimov, V. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. BICA 2017. Advances in Intelligent Systems and Computing, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-63940-6_36
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DOI: https://doi.org/10.1007/978-3-319-63940-6_36
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