Private set intersection from homomorphic encryption

Secure Multiparty Computation (MPC) is a broad area that allows some parties to jointly compute a function without revealing their private inputs. Private Set Intersection (PSI) is an important problem in MPC, where two set holders want to learn the intersection of their sets while not leaking other...

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Main Author: Pham Van Long Phuoc
Other Authors: Wang Huaxiong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172129
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1721292023-11-27T15:35:56Z Private set intersection from homomorphic encryption Pham Van Long Phuoc Wang Huaxiong School of Physical and Mathematical Sciences HXWang@ntu.edu.sg Science::Mathematics::Applied mathematics Secure Multiparty Computation (MPC) is a broad area that allows some parties to jointly compute a function without revealing their private inputs. Private Set Intersection (PSI) is an important problem in MPC, where two set holders want to learn the intersection of their sets while not leaking other information. The asymmetric case of the PSI problem has seen practical application in private database querying, biometric authentication, or private contact discovery. In the past few years, there have been new approaches in asymmetric PSI to take advantage of the receiver’s small set size to improve computation and communication efficiency in their protocol. This work aims to provide an implementation for the new Branching Program approach, as well as compare it with previous methods. In this paper, a new attempt to provide malicious security in asymmetric PSI while keeping communication dependent only on the receiver’s set size is also reported. Bachelor of Science in Mathematical Sciences 2023-11-27T05:55:42Z 2023-11-27T05:55:42Z 2023 Final Year Project (FYP) Pham Van Long Phuoc (2023). Private set intersection from homomorphic encryption. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172129 https://hdl.handle.net/10356/172129 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics::Applied mathematics
spellingShingle Science::Mathematics::Applied mathematics
Pham Van Long Phuoc
Private set intersection from homomorphic encryption
description Secure Multiparty Computation (MPC) is a broad area that allows some parties to jointly compute a function without revealing their private inputs. Private Set Intersection (PSI) is an important problem in MPC, where two set holders want to learn the intersection of their sets while not leaking other information. The asymmetric case of the PSI problem has seen practical application in private database querying, biometric authentication, or private contact discovery. In the past few years, there have been new approaches in asymmetric PSI to take advantage of the receiver’s small set size to improve computation and communication efficiency in their protocol. This work aims to provide an implementation for the new Branching Program approach, as well as compare it with previous methods. In this paper, a new attempt to provide malicious security in asymmetric PSI while keeping communication dependent only on the receiver’s set size is also reported.
author2 Wang Huaxiong
author_facet Wang Huaxiong
Pham Van Long Phuoc
format Final Year Project
author Pham Van Long Phuoc
author_sort Pham Van Long Phuoc
title Private set intersection from homomorphic encryption
title_short Private set intersection from homomorphic encryption
title_full Private set intersection from homomorphic encryption
title_fullStr Private set intersection from homomorphic encryption
title_full_unstemmed Private set intersection from homomorphic encryption
title_sort private set intersection from homomorphic encryption
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/172129
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