Enhancing Permissioned Blockchains with Controlled Data Authorization

Qichang Liu, Xufeng Zhang, Sisi Duan, Haibin Zhang*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Blockchains provide data with availability and integrity. Many applications, however, also require strong confidentiality, a goal that conventional blockchains fail to achieve. This work enhances permissioned blockchains based on Byzantine fault tolerance (BFT) with the ability to manage confidential data in a controlled manner. For this goal, we formally define threshold encryption with controlled authorization (ECA). In an ECA scheme, writers can send transaction messages to readers via servers (e.g., blockchain servers). There are many challenges for ECA — decoupling writers and readers, message confidentiality, reliability of the system, and the tolerance of malicious behaviors. We define the syntax for the ECA system and formalize three security notions for ECA, namely token verifiability, t-robustness, and t-collusion resistant CPA security. We propose an ECA scheme and provide formal proofs of these notions for our proposed ECA scheme. Our ECA scheme decouples writers and readers with the help of servers. The token verifiability guarantees all the servers obtain the right tokens from writers. The t-robustness makes sure our ECA scheme runs well even if t malicious servers implement active attacks. The t-collusion resistant CPA security guarantees message privacy from servers, even if t servers collude with each other to implement active attacks. Finally, we offer an efficient ECA construction satisfying all these security notions.

源语言英语
主期刊名Information Security and Privacy - 29th Australasian Conference, ACISP 2024, Proceedings
编辑Tianqing Zhu, Yannan Li
出版商Springer Science and Business Media Deutschland GmbH
3-23
页数21
ISBN(印刷版)9789819751006
DOI
出版状态已出版 - 2024
已对外发布
活动29th Australasian Conference on Information Security and Privacy, ACISP 2024 - Sydney, 澳大利亚
期限: 15 7月 202417 7月 2024

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
14897 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议29th Australasian Conference on Information Security and Privacy, ACISP 2024
国家/地区澳大利亚
Sydney
时期15/07/2417/07/24

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