Efficient delegated private set intersection on outsourced private datasets

Abadi, Aydin and Terzis, Sotirios and Metere, Roberto and Dong, Changyu (2019) Efficient delegated private set intersection on outsourced private datasets. IEEE Transactions on Dependable and Secure Computing, 16 (4). pp. 608-624. ISSN 1545-5971 (https://doi.org/10.1109/TDSC.2017.2708710)

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Abstract

Private set intersection (PSI) is an essential cryptographic protocol that has many real world applications. As cloud computing power and popularity have been swiftly growing, it is now desirable to leverage the cloud to store private datasets and delegate PSI computation to it. Although a set of efficient PSI protocols have been designed, none support outsourcing of the datasets and the computation. In this paper, we propose two protocols for delegated PSI computation on outsourced private datasets. Our protocols have a unique combination of properties that make them particularly appealing for a cloud computing setting. Our first protocol, O-PSI, satisfies these properties by using additive homomorphic encryption and point-value polynomial representation of a set. Our second protocol, EO-PSI, is mainly based on a hash table and point-value polynomial representation and it does not require public key encryption; meanwhile, it retains all the desirable properties and is much more efficient than the first one. We also provide a formal security analysis of the two protocols in the semi-honest model and we analyze their performance utilizing prototype implementations we have developed. Our performance analysis shows that EO-PSI scales well and is also more efficient than similar state-of-the-art protocols for large set sizes.

  • Item type:Article
    ID code:60721
    Dates:
    Date
    Event
    31 August 2019
    Published
    26 May 2017
    Published Online
    18 May 2017
    Accepted
    Notes:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Science > Mathematics > Electronic computers. Computer science
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Pure Administrator
    Date deposited:18 May 2017 15:49
    Last modified:23 Apr 2024 00:13
    URI:https://strathprints.strath.ac.uk/id/eprint/60721
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