Visible to the public Labeled PSI from Fully Homomorphic Encryption with Malicious Security

TitleLabeled PSI from Fully Homomorphic Encryption with Malicious Security
Publication TypeConference Paper
Year of Publication2018
AuthorsChen, Hao, Huang, Zhicong, Laine, Kim, Rindal, Peter
Conference NameProceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-5693-0
Keywordshomomorphic encryption, human factors, Metrics, private set intersection, pubcrawl, Resiliency, Scalability
AbstractPrivate Set Intersection (PSI) allows two parties, the sender and the receiver, to compute the intersection of their private sets without revealing extra information to each other. We are interested in the unbalanced PSI setting, where (1) the receiver's set is significantly smaller than the sender's, and (2) the receiver (with the smaller set) has a low-power device. Also, in a Labeled PSI setting, the sender holds a label per each item in its set, and the receiver obtains the labels from the items in the intersection. We build upon the unbalanced PSI protocol of Chen, Laine, and Rindal (CCS\textbackslashtextasciitilde2017) in several ways: we add efficient support for arbitrary length items, we construct and implement an unbalanced Labeled PSI protocol with small communication complexity, and also strengthen the security model using Oblivious Pseudo-Random Function (OPRF) in a pre-processing phase. Our protocols outperform previous ones: for an intersection of 220 and \$512\$ size sets of arbitrary length items our protocol has a total online running time of just \$1\$\textbackslashtextasciitildesecond (single thread), and a total communication cost of 4 MB. For a larger example, an intersection of 228 and 1024 size sets of arbitrary length items has an online running time of \$12\$ seconds (multi-threaded), with less than 18 MB of total communication.
URLhttp://doi.acm.org/10.1145/3243734.3243836
DOI10.1145/3243734.3243836
Citation Keychen_labeled_2018