An Efficient Delegatable Order-Revealing Encryption Scheme for Multi-User Range Queries
To balance data confidentiality and availability, order-revealing encryption (ORE) has emerged as a pivotal primitive facilitating range queries on encrypted data. However, challenges arise in diverse user domains where data is encrypted with different keys, giving rise to the development of delegatable order-revealing encryption (DORE) schemes. Regrettably, existing DORE schemes are susceptible to authorization token forgery attacks and rely on computationally intensive bilinear pairings. This work proposes a novel solution to address these challenges. We first introduce a delegatable equality-revealing encryption scheme, enabling the comparison of ciphertexts encrypted by distinct secret keys through authorization tokens. Building upon this, we present a delegatable order-revealing encryption that leverages bitwise encryption. DORE supports efficient multi-user ciphertext comparison while robustly resisting authorization token forgery attacks. Significantly, our approach distinguishes itself by minimizing bilinear pairings. Experimental results highlight the efficacy of DORE, showcasing a notable speedup of <inline-formula><tex-math notation="LaTeX">$2.8\times$</tex-math></inline-formula> in encryption performance and <inline-formula><tex-math notation="LaTeX">$1.33\times$</tex-math></inline-formula> in comparison performance compared to previous DORE schemes, respectively.
Authors
- Jun Fu (ORCID: https://orcid.org/0000-0003-2196-3669)
- Cong Peng (ORCID: https://orcid.org/0000-0002-9958-3255)
- Min Luo (ORCID: https://orcid.org/0000-0002-1819-9332)
- Rui Li (ORCID: https://orcid.org/0000-0002-5453-4660)
- Jingru Xu (ORCID: https://orcid.org/0009-0007-9856-390X)
Institutions
- Wuhan University (CN)
- Inspur (China) (CN)
- Intelligent Health (United Kingdom) (GB)
Publication Details
- Journal
- IEEE Transactions on Cloud Computing
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1109/tcc.2024.3506614
- Citations
- 4
- Primary Topic
- Cryptography and Data Security
- Type
- article
- Field-Weighted Citation Impact
- 1.39