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    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/111679


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/111679


    Title: Security analysis of an anonymous authentication scheme based on smart cards and biometrics for multi-server environments
    Authors: 左瑞麟
    Pan, Jeng-Shyang
    Tso, Raylin
    Wu, Mu-En
    Chen, Chien-Ming
    Contributors: 資科系
    Keywords: Biometrics;Smart cards;Transportation;Anonymous authentication;Authenticated key agreement;Authentication scheme;Biometric informations;Multi-server environment;Security;Security analysis;User authentication;Authentication
    Date: 2015-08
    Issue Date: 2017-08-08 17:00:35 (UTC+8)
    Abstract: User authentication is an important technology for E-commerce, especially when it is done by using smart cards. Authentication schemes based on smart cards can guarantee that a user using the smart card is legal and has the authorization to access resources (eg., a bank account or a remote server) behind the smart card. Due to its usefulness, authentication schemes based on smart cards have been widely researched in recent years. In 2014, Choi introduced a security enhanced anonymous multi-server authenticated key agreement scheme using smart card and biometrics. Kuo et. al recently found that Choi’s scheme is insecure against card losing attack and made an improvement to deal with the problem. However, in this paper, we will show that Kuo et. al’s new scheme made the situation even worse. In their new scheme, any server having communicated with and received information from a card of a user can impersonate the user and enjoy the service (eg., on-line shopping) from the server on behalf of the original user without the card on-hand. We conduct a detailed analysis of flaws in their scheme in the hope that no similar mistakes are made in the future. An improved scheme is left as a future work. © Springer International Publishing Switzerland 2016.
    Relation: Advances in Intelligent Systems and Computing, 388, 59-69
    9th International Conference on Genetic and Evolutionary Computing, ICGEC 2015; Yangon; Myanmar; 26 August 2015 到 28 August 2015; 代碼 141219
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1007/978-3-319-23207-2_7
    DOI: 10.1007/978-3-319-23207-2_7
    Appears in Collections:[資訊科學系] 會議論文

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