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政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/138285

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/138285

Title:	Multi-value Private Information Retrieval using Homomorphic Encryption
Authors:	左瑞麟 Tso, Raylin Hsu, Hsiang-Chen Liu, Zi-Yuan Chen, Kung
Contributors:	資科系
Keywords:	private information retrieval;communication complexity;homomorphic encryption
Date:	2020-08
Issue Date:	2021-12-09 16:08:38 (UTC+8)
Abstract:	Private information retrieval (PIR) is a privacy protection that allows users to retrieve information from a database without revealing any information about the retrieved data to the server. Since the pioneering work of Chor et al. (FOCS "95) and of Kushilevitz and Ostrovsky (FOCS "97), PIR has been extensively studied (especially the single database setting) in the past two decades. However, most protocols only allow users to retrieve only one data at a time, which leads to high communication costs. To solve this issue, this work proposes a multi-value private information retrieval protocol using group homomorphic encryption, which allows users to retrieve multiple values at a time. We compared our work with that of Ostrovsky and Skeith (PKC "07) and show that retrieving multiple data at a time significantly can significantly reduces communication costs. Furthermore, we provide rigorous proof that if the underlying group homomorphic encryption is secure, then no attacker can know what data the user has retrieved.
Relation:	2020 15th Asia Joint Conference on Information Security (AsiaJCIS)
Data Type:	conference
DOI 連結:	https://doi.org/10.1109/AsiaJCIS50894.2020.00024
DOI:	10.1109/AsiaJCIS50894.2020.00024
Appears in Collections:	[資訊科學系] 會議論文

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