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Cited by 502

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Inference Attacks on Property-Preserving Encrypted Databases

Naveed, Muhammad, Kamara, Seny, Wright, Charles V.·2015·Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security

Abstract

Many encrypted database (EDB) systems have been proposed in the last few years as cloud computing has grown in popularity and data breaches have increased. The state-of-the-art EDB systems for relational databases can handle SQL queries over encrypted data and are competitive with commercial database systems. These systems, most of which are based on the design of CryptDB (SOSP 2011), achieve these properties by making use of property-preserving encryption schemes such as deterministic (DTE) and order- preserving encryption (OPE). In this paper, we study the concrete security provided by such systems. We present a series of attacks that recover the plaintext from DTE- and OPE-encrypted database columns using only the encrypted column and publicly-available auxiliary information. We consider well-known attacks, including frequency analysis and sorting, as well as new attacks based on combinatorial optimization.

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Metadata

Authors
Naveed, M., Kamara, S., & Wright, C. V.
Venue
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security
Publisher
ACM
Published
2015-10-12
Pages
644-655
OpenAlex
W2074388704
Cited by
502
References
29
FWCI
32.38
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inference Attacks on Property-Preserving Encrypted Databases. https://app.cochat.ai/papers/10.1145/2810103.2813651
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Naveed, M., Kamara, S., & Wright, C. V. (2015). Inference Attacks on Property-Preserving Encrypted Databases. Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security. https://doi.org/10.1145/2810103.2813651

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.