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    政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 >  Item 140.119/131636
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/131636


    Title: 基於同態加密之多訊息私密資訊擷取機制之研究
    A Study on Multi-Message Private Information Retrievalusing Homomorphic Encryption
    Authors: 徐珦朕
    Hsu, Hsiang-Chen
    Contributors: 左瑞麟
    Tso, Ray-lin
    徐珦朕
    Hsu, Hsiang-Chen
    Keywords: 私密資訊擷取
    通訊複雜度
    同態加密
    Homomorphic encryption
    Private Information Retrieval
    Communication complexity
    Date: 2020
    Issue Date: 2020-09-02 12:16:24 (UTC+8)
    Abstract: 私密資訊擷取(Private Information Retrieval,PIR)為使用者在對資料庫取用資料時對使用者的隱私保護。透過私密資訊擷取,可以讓資料庫管理者沒有辦法得知使用者所取出的資料為哪一個。自從Chor等人以及Kushilevitz與Ostrovsky過去的研究,私密資訊擷取已經在過去二十年中有著廣泛的研究(尤其是單一資料庫的私密資訊擷取),但是大多數的架構僅允許使用者一次只能存取一筆資料,這會導致較高的通訊成本。而為了解決這個問題,本篇論文設計的改良版同態加密之多訊息私密資訊擷取架構能使使用者一次的詢問便可取回多個n位元資料,以提升私密資訊擷取的效率。除此之外,我們完成了架構的分析,提出正確性及安全性的證明,並且分析了通訊複雜度。
    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 \\textit{et al}. and of Kushilevitz and Ostrovsky, 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 and show that retrieving multiple data at a time can significantly reduce communication costs. Furthermore, we analyze the structure, provide a rigorous proof that if the underlying group homomorphic encryption is secure, and discuss the communication complexity.
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    Description: 碩士
    國立政治大學
    資訊科學系
    107753036
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107753036
    Data Type: thesis
    DOI: 10.6814/NCCU202001380
    Appears in Collections:[資訊科學系] 學位論文

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