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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/138316
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/138316


    Title: Designated-ciphertext searchable encryption
    Authors: 左瑞麟
    Tso, Raylin
    Zi-YuanLiu
    Yi-FanTseng
    MasahiroMambo
    Contributors: 資科系
    Keywords: Designated-ciphertex;Insider-keyword-guessing attack;Lattices;Quantum-resistan;Searchable encryption
    Date: 2021-05
    Issue Date: 2021-12-23 15:38:06 (UTC+8)
    Abstract: Public-key encryption with keyword search (PEKS), proposed by Boneh et al. (2004), allows users to search encrypted keywords without losing data privacy. Although extensive studies have been conducted on this topic, only a few have focused on insider-keyword-guessing attacks (IKGA) that can reveal a user’s sensitive information. In particular, after receiving a trapdoor used to search ciphertext from a user, a malicious insider (e.g., a server) can randomly encrypt possible keywords using the user’s public key, and then test whether the trapdoor corresponds to the selected keyword. This paper introduces a new concept called designated-ciphertext searchable encryption (DCSE), which provides the same desired functionality as a PEKS scheme and prevents IKGA. Each trapdoor in DCSE is designated to a specific ciphertext, and thus malicious insiders cannot perform IKGA. We further propose a generic DCSE construction that employs identity-based encryption and a key encapsulation mechanism. We provide formal proofs to demonstrate that the generic construction satisfies the security requirements. Moreover, we provide a lattice-based instantiation whose security is based on NTRU and ring-learning with errors assumptions; the proposed scheme is thus considered to be resistant to the quantum-computing attacks.
    Relation: Journal of Information Security and Applications, Vol.58, 102709
    Data Type: article
    DOI 連結: https://doi.org/10.1016/j.jisa.2020.102709
    DOI: 10.1016/j.jisa.2020.102709
    Appears in Collections:[資訊科學系] 期刊論文

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