A comparative evaluation of order-revealing encryption schemes and secure range-query protocols

Author:

Bogatov Dmytro1,Kollios George1,Reyzin Leonid1

Affiliation:

1. Boston University

Abstract

Database query evaluation over encrypted data can allow database users to maintain the privacy of their data while outsourcing data processing. Order-Preserving Encryption (OPE) and Order-Revealing Encryption (ORE) were designed to enable efficient query execution, but provide only partial privacy. More private protocols, based on Searchable Symmetric Encryption (SSE), Oblivious RAM (ORAM) or custom encrypted data structures, have also been designed. In this paper, we develop a framework to provide the first comprehensive comparison among a number of range query protocols that ensure varying levels of privacy of user data. We evaluate five ORE-based and five generic range query protocols. We analyze and compare them both theoretically and experimentally and measure their performance over database indexing and query evaluation. We report not only execution time but also I/O performance, communication amount, and usage of cryptographic primitive operations. Our comparison reveals some interesting insights concerning the relative security and performance of these approaches in database settings.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

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1. Veil: A Storage and Communication Efficient Volume-Hiding Algorithm;Proceedings of the ACM on Management of Data;2023-12-08

2. SecBerg: Secure and Practical Iceberg Queries in Cloud;IEEE Transactions on Services Computing;2023-09

3. Frequency-Revealing Attacks against Frequency-Hiding Order-Preserving Encryption;Proceedings of the VLDB Endowment;2023-07

4. Securing Decision Tree Inference Using Order-Preserving Cryptography;2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS);2023-06-11

5. Range Search over Encrypted Multi-Attribute Data;Proceedings of the VLDB Endowment;2022-12

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