The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Order preserving encryption for numeric data
Abstract
Encryption is a well established technology for protecting sensitive data. However, once encrypted, data can no longer be easily queried aside from exact matches. We present an order-preserving encryption scheme for numeric data that allows any comparison operation to be directly applied on encrypted data. Query results produced are sound (no false hits) and complete (no false drops). Our scheme handles updates gracefully and new values can be added without requiring changes in the encryption of other values. It allows standard databse indexes to be built over encrypted tables and can easily be integrated with existing database systems. The proposed scheme has been designed to be deployed in application environments in which the intruder can get access to the encrypted database, but does not have prior domain information such as the distribution of values and annot encrypt or decrypt arbitrary values of his choice. The encryption is robust against estimation of the true value in such environments.
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Cites
Numerical recipes in C: the art of scientific computing
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5638 · Cited by 17,933
Numerical recipes in Pascal: the art of scientific computing
(1990) · Choice Reviews Online · doi:10.5860/choice.27-5158 · Cited by 11,811
Practical techniques for searches on encrypted data
Song, D. X., Wagner, D., & Perrig, A. (2002) · Proceeding 2000 IEEE Symposium on Security and Privacy. S&P 2000 · doi:10.1109/secpri.2000.848445 · Cited by 3,350
Cryptography: Theory and Practice
Stinson, D. R. (1995) · Cited by 2,743
Cryptography and data security
Denning, D. E. (1982) · Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School) · Cited by 1,904
(1978) · Cited by 1,875
Stochastic Complexity in Statistical Inquiry
Rissanen, J. (1998) · WORLD SCIENTIFIC eBooks · doi:10.1142/0822 · Cited by 1,539
Executing SQL over encrypted data in the database-service-provider model
Hacigümüş, H., Iyer, B., Li, C., & Mehrotra, S. (2002) · Proceedings of the 2002 ACM SIGMOD international conference on Management of data · doi:10.1145/564691.564717 · Cited by 1,149
SLIQ: A fast scalable classifier for data mining
Mehta, M., Agrawal, R., & Rissanen, J. (1996) · Lecture Notes in Computer Science · doi:10.1007/bfb0014141 · Cited by 749
Self-citationAgrawal, R., Kiernan, J., Srikant, R., & Xu, Y. (2002) · VLDB '02: Proceedings of the 28th International Conference on Very Large Databases · doi:10.1016/b978-155860869-6/50021-4 · Cited by 723
Self-citation
Cited by
Deterministic and Efficiently Searchable Encryption
Bellare, M., Boldyreva, A., & O’Neill, A. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74143-5_30 · Cited by 745
An Ideal-Security Protocol for Order-Preserving Encoding
Popa, R. A., Li, F. H., & Zeldovich, N. (2013) · 2013 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2013.38 · Cited by 386
A Survey of Provably Secure Searchable Encryption
Bösch, C., Hartel, P., Jonker, W., & Peter, A. (2015) · ACM Computing Surveys · doi:10.1145/2636328 · Cited by 357
Generic Attacks on Secure Outsourced Databases
Kellaris, G., Kollios, G., Nissim, K., & O'Neill, A. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2976749.2978386 · Cited by 284
Naveed, M., Ayday, E., Clayton, E. W., Fellay, J., Gunter, C. A., Hubaux, J.-P., Malin, B. A., & Wang, X. (2015) · ACM Computing Surveys · doi:10.1145/2767007 · Cited by 261
Metadata
- Authors
- Agrawal, R., Kiernan, J., Srikant, R., & Xu, Y.
- Venue
- Proceedings of the 2004 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2004-06-13
- Pages
- 563-574
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2154496743
- Cited by
- 1,206
- References
- 17
- FWCI
- 15.18
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Agrawal, R., Kiernan, J., Srikant, R., & Xu, Y. (2004). Order preserving encryption for numeric data. Proceedings of the 2004 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/1007568.1007632
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
