Efficient Cloud-Assisted Protocol for Private Set Intersection Computation
DOI:
https://doi.org/10.54097/ycdx8827Keywords:
Private set intersection (PSI), Cloud-assisted computation, Security mul- tiply computation, PSI protocol.Abstract
As cloud computing capabilities have advanced, coupled with the rise of cloud-assisted computing, innovative solutions for private set intersection computation have emerged. Traditionally, protocols designed for private data security entail extensive computational demands. This can be a burden for those involved in the privacy set seeking intersection. In many real-world scenarios, some participants might not possess the necessary computational power mandated by these protocols, leading to potential data vulnerabilities. However, the advent of cloud-assisted computing has introduced a transformative approach. Participants, rather than being limited by their local computational constraints, can now offload tasks to a cloud server. The server, equipped with vastly superior computing resources, undertakes the computation and subsequently returns the results. This not only alleviates the pressure on individual participants but also makes the process more adaptable to varied scenarios. In the discussed paper, a protocol is presented that adeptly harnesses cloud assistance to facilitate efficient private set intersection. This protocol not only ensures that data remains secure but also broadens the range of potential applications by accommodating different computational capacities. The marriage of cloud resources and private set computation offers a promising direction for the future of data security in a cloud-dominated era.
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Abadi, A., Terzis, S., & Dong, C. (2015). O-PSI: delegated private set intersection on outsourced datasets. In ICT Systems Security and Privacy Protection: 30th IFIP TC 11 International Conference, SEC 2015, Hamburg, Germany, May 26-28, 2015, Proceedings 30 (pp. 3-17). Springer International Publishing.
Ruan, O., & Zeng, J. (2022). A delegated offline private set intersection protocol for cloud computing environments. In Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics (pp. 735-739).
Ruan, O., Huang, X., & Mao, H. (2020). An efficient private set intersection protocol for the cloud computing environments. In 2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing,(HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS) (pp. 254-259). IEEE.
Tian, H., Zhang, J., Yang, L., Tang, Y., & Zha, C. (2022). Multi-party privacy set intersection protocol with an untrusted cloud server. Frontiers in Computing and Intelligent Systems, 2(3), 68-74.
Wei, L., Wang, Q., Zhang, L., Chen, C., Chen, Y., & Ning, J. (2022). Efficient privacy intersection computing protocol assisted by semi-trusted cloud services. Journal of Software, 34(2), 932-944.
Li, S., Zhou, S., Guo, Y., Dou, J., & Wang, D. (2016). Aggregate privacy computing in cloud environments. Journal of Software, 27(6).
Wang, Q., Wei, L., Liu, J., & Zhang, L. (2021). Multi-party privacy based on cloud server-assisted intersection computing protocol. Computer Science, 48(10), 301-307.
Huang, Y., Evans, D., & Katz, J. (2012). Private set intersection: Are garbled circuits better than custom protocols?. In NDSS.
Pinkas, B., Schneider, T., Segev, G., & Zohner, M. (2015). Phasing: Private set intersection using permutation-based hashing. In 24th USENIX Security Symposium (USENIX Security 15) (pp. 515-530).
Kolesnikov, V., Matania, N., Pinkas, B., Rosulek, M., & Trieu, N. (2017). Practical multi-party private set intersection from symmetric-key techniques. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (pp. 1257-1272).
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