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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/150991
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/150991


    Title: Anonymous hierarchical identity-based encryption with delegated traceability for cloud-based data sharing systems
    Authors: 曾一凡;左瑞麟
    Tseng, Yi-Fan;Tso, Raylin;Liu, Zi-Yuan;Mambo, Masahiro
    Contributors: 資訊系
    Keywords: Adaptive security;Cloud computing;Data sharing;Hierarchical delegation;Identity-based encryption
    Date: 2024-04
    Issue Date: 2024-04-29 14:18:37 (UTC+8)
    Abstract: Cloud-based data sharing systems (DSS) have become prevalent due to their ample storage and convenient access control. To protect sensitive data privacy in DSS, anonymous identity-based encryption (IBE) is a promising approach, enabling encryption using a recipient’s identity as a public key, while preventing identity and data leaks out of ciphertexts. As complete anonymity risks abuse and illegal usage, Blazy et al. introduced the notion called anonymous IBE with traceable identities (AIBET) at ARES’19, allowing users with tracing keys to identify recipients from ciphertexts. Unfortunately, existing AIBET schemes lack tracing key delegation and only consider security in weaker models (i.e., selective-identity attacks and chosen-plaintext attacks), posing risks of inconvenience and user privacy leaks. In this paper, we introduce a novel notion called anonymous hierarchical identity-based encryption with delegated traceability (AHIBEDT) for DSS. We formalize its syntax and define security notions in stronger models (i.e., adaptive-identity attacks and chosen-ciphertext attacks). In addition, we demonstrate that a concrete AHIBEDT scheme can be simply obtained from a hierarchical IBE scheme and a one-time signature scheme. The comparison results indicate that, despite a substantial increase in communication and computational costs, our approach achieves better security and functionality.
    Relation: Computer Standards & Interfaces, Vol.89, 103817
    Data Type: article
    DOI 連結: https://doi.org/10.1016/j.csi.2023.103817
    DOI: 10.1016/j.csi.2023.103817
    Appears in Collections:[資訊科學系] 期刊論文

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