政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/111905
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    题名: Efficient public key encryption with user-friendly keywords search for searchable cloud storage
    作者: 左瑞麟
    Chen, Kuo-Chang
    Chen, Yu-Chi
    Horng, Gwoboa
    Tso, Raylin
    贡献者: 資訊科學系
    关键词: 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
    日期: 2015
    上传时间: 2017-08-10 15:16:56 (UTC+8)
    摘要: 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.
    關聯: 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
    数据类型: 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
    显示于类别:[資訊科學系] 會議論文

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