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题名:	Multi-value Private Information Retrieval using Homomorphic Encryption
作者:	左瑞麟 Tso, Raylin Hsu, Hsiang-Chen Liu, Zi-Yuan Chen, Kung
贡献者:	資科系
关键词:	private information retrieval;communication complexity;homomorphic encryption
日期:	2020-08
上传时间:	2021-12-09 16:08:38 (UTC+8)
摘要:	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.
關聯:	2020 15th Asia Joint Conference on Information Security (AsiaJCIS)
数据类型:	conference
DOI 連結:	https://doi.org/10.1109/AsiaJCIS50894.2020.00024
DOI:	10.1109/AsiaJCIS50894.2020.00024
显示于类别:	[資訊科學系] 會議論文

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