Implementation of A Blockchain-based Searchable Encryption for Securing Contact Tracing Data,ERICDATA高等教育知識庫
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熱門: Qiaoyun Zhang  吳清山  Helong Xia  Semi-trusted loader  Scopus AI  Zhi-Wei Sun  
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篇名
Implementation of A Blockchain-based Searchable Encryption for Securing Contact Tracing Data
並列篇名
Implementation of A Blockchain-based Searchable Encryption for Securing Contact Tracing Data
作者 Zheng Yao Ng、Iftekhar Salam
英文摘要

We developed a blockchain-based multi-keyword searchable encryption scheme for securing COVID-19 contact tracing data. In this scheme, we used AES-GCM to encrypt the contact tracing data, guaranteeing that only authorized users can perform decryption. Our scheme employed a Ciphertext-Policy Attribute-based searchable encryption to encrypt the search index, ensuring only users with appropriate attributes can perform search operations. The scheme supports dynamic updates of the search index. The blockchain-based storage with smart contract ensures immutability and non-repudiation of storage and retrieval. Overall, the evaluation of the scheme shows that it works efficiently without compromising the security goals. This is one of the first works to implement a solution for secure storage and search of contact tracing data with blockchain-based searchable encryption. Compared to the existing searchable contact tracing schemes, it provides more features and maintains efficiency even if a large search index is used.

 

起訖頁 241-253
關鍵詞 COVID-19、Contact tracing、Attribute-based searchable encryption、Blockchain、Smart contract
刊名 網際網路技術學刊  
期數 202403 (25:2期)
出版單位 台灣學術網路管理委員會
DOI 10.53106/160792642024032502007   複製DOI
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