Maliciously Secure Circuit Private Set Intersection via SPDZ-Compatible Oblivious PRF
Circuit Private Set Intersection (Circuit-PSI) allows two parties to compute a function f on items in the intersection of their input sets without revealing items in the intersection set. It is a well-known variant of PSI and has numerous practical applications. However, existing Circuit-PSI protocols only provide security against semi-honest adversaries. A straightforward approach to constructing a maliciously secure Circuit-PSI is to extend a pure garbled-circuit-based PSI (NDSS'12) to a maliciously secure circuit-PSI, but it will not be concretely efficient. Another is converting state-of-the-art semi-honest Circuit-PSI protocols (EUROCRYPT'21; PoPETS'22) to be secure in the malicious setting. However, it will come across the consistency issue (EUROCRYPT'11) since parties can not guarantee the inputs of the function f stay unchanged as obtained from the last step. This paper tackles the previously mentioned issue by presenting the first maliciously secure Circuit-PSI protocol. Our key innovation, the Distributed Dual-key Oblivious Pseudorandom Function (DDOPRF), enables the oblivious evaluation of secret-shared inputs using dual keys within the SPDZ MPC framework. Notably, this construction seamlessly ensures fairness within the Circuit-PSI. Compared to the state-of-the-art semi-honest Circuit-PSI protocol (PoPETS'22), experimental results demonstrate that our malicious Circuit-PSI protocol not only reduces around 5x communication costs but also enhances efficiency, particularly for modest input sets (<= 2^{14}) in the case of the WAN setting with high latency and limited bandwidth.
Authors
- Xiangfu Song (ORCID: https://orcid.org/0000-0001-9927-0534)
- Jianying Zhou
- Changyu Dong (ORCID: https://orcid.org/0000-0002-8625-0275)
- Xiaojian Liang
- Ye Dong (ORCID: https://orcid.org/0000-0002-2105-8047)
- Hong‐Yu Ren (ORCID: https://orcid.org/0000-0003-4733-7607)
- Longbin Huang
- Yaxi Yang
Institutions
- Singapore University of Technology and Design (SG)
- National University of Singapore (SG)
- Guangzhou University (CN)
- ANT Foundation Italy Onlus (IT)
Publication Details
- Journal
- Proceedings on Privacy Enhancing Technologies
- Published
- 2025-03-07
- DOI
- https://doi.org/10.56553/popets-2025-0082
- Citations
- 3
- Primary Topic
- Cryptography and Data Security
- Type
- article
- Field-Weighted Citation Impact
- 7.44
Funders
- National Research Foundation
- National Research Foundation Singapore
- National Natural Science Foundation of China