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Abstract
Due to the concern on cloud security, digital encryption is applied before outsourcing data to the cloud for utilization. This introduces a challenge about how to efficiently perform queries over ciphertexts. Crypto-based solutions currently suffer from limited operation support, high computational complexity, weak generality, and poor verifiability. An alternative method that utilizes hardware-assisted Trusted Execution Environment (TEE), i.e., Intel SGX, has emerged to offer high computational efficiency, generality and flexibility. However, SGX-based solutions lack support on multi-user query control and suffer from security compromises caused by untrustworthy TEE function invocation, e.g., key revocation failure, incorrect query results, and sensitive information leakage. In this article, we leverage SGX and propose a secure and efficient SQL-style query framework named QShield. Notably, we propose a novel lightweight secret sharing scheme in QShield to enable multi-user query control; it effectively circumvents key revocation and avoids cumbersome remote attestation for authentication. We further embed a trust-proof mechanism into QShield to guarantee the trustworthiness of TEE function invocation; it ensures the correctness of query results and alleviates side-channel attacks. Through formal security analysis, proof-of-concept implementation and performance evaluation, we show that QShield can securely query over outsourced data with high efficiency and scalable multi-user support.
| Original language | English |
|---|---|
| Article number | 9200772 |
| Pages (from-to) | 485-499 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Parallel and Distributed Systems |
| Volume | 32 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Feb 2021 |
| MoE publication type | A1 Journal article-refereed |
Funding
The authors would like to thank Wen-hai Sun, Ning Zhang, and Xue-qin Liang for their insightful comments on the manuscript. They would also like to thank Wen-jing Lou for her constructive suggestions and kind comments on this research topic. This work was sponsored by National Key Research and Development Program of China under Grant Nos. 2018YFB1004500, 2016YFB1000903, Innovative Research Group of the National Natural Science Foundation of China (61721002), Innovation Research Team of Ministry of Education (IRT_17R86), the National Science Foundation of China under Grant Nos. 61502379, 61532015, 61672410, and 61672420, Project of China Knowledge Center for Engineering Science and Technology. This work was also supported in part by the Academy of Finland under Grants 308087 and 314203.
Keywords
- cloud computing
- Intel SGX
- multi-user query control
- outsourced data
- secure hardware
- Secure query
Fingerprint
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- 2 Finished
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TruSoNet: Digitalizing Trust for Securing Pervasive Social Networking
Yan, Z. (Principal investigator), Liu, S. (Project Member) & Zhang, L. (Project Member)
01/09/2017 → 31/08/2020
Project: Academy of Finland: Other research funding
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Digitalizing Trust for Securing Pervasive Social Networking
Yan, Z. (Principal investigator)
01/09/2017 → 31/08/2022
Project: Academy of Finland: Other research funding