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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/111905
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/111905

    Title: Efficient public key encryption with user-friendly keywords search for searchable cloud storage
    Authors: 左瑞麟
    Chen, Kuo-Chang
    Chen, Yu-Chi
    Horng, Gwoboa
    Tso, Raylin
    Contributors: 資訊科學系
    Keywords: Cryptography;Digital storage;Intelligent control;Intelligent systems;Mobile security;Search engines;Security of data;Cloud storages;Keyword search;Searchable encryptions;security;trapdoor;Public key cryptography
    Date: 2015
    Issue Date: 2017-08-10 15:16:56 (UTC+8)
    Abstract: Protecting private data becomes very important in communication with the widespread adoption of the cloud storage system; for example, Dropbox, SkyDrive and iCloud. A user should be able to access his private data from cloud, and efficiently retrieves data which he wants. In fact, a straightforward solution to protecting user's private data is encryption. Relying on keyword search over the encrypted data is very useful and efficient to retrieve from the untrusted cloud storage. In this scenario, a sender can send encrypted data, and the receiver can generate trapdoors from keywords to retrieve those data which include the keywords. Recently, Zhang and Zhang proposed a field-free public key encryption with user-friendly keywords search. In this paper, we present a searchable public key encryption with user-friendly keywords search. The proposed scheme is secure based on secret sharing and the hardness of discrete logarithm problem. It is more efficient than Zhang and Zhang's scheme on computation. Moreover, we also analyze that this scheme satisfies some properties, which is suitable to data deliver/retrieval in cloud storage. © 2015 The authors and IOS Press. All rights reserved.
    Relation: Frontiers in Artificial Intelligence and Applications, 274, 724-733
    International Computer Symposium, ICS 2014; Taichung; Taiwan; 12 December 2014 到 14 December 2014; 代碼 111725
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.3233/978-1-61499-484-8-724
    DOI: 10.3233/978-1-61499-484-8-724
    Appears in Collections:[資訊科學系] 會議論文

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