TY - JOUR
T1 - Multi-server assisted data sharing supporting secure deduplication for metaverse healthcare systems
AU - Zhang, Tao
AU - Shen, Jian
AU - Lai, Chin Feng
AU - Ji, Sai
AU - Ren, Yongjun
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China under Grants No. 61922045 , No. U21A20465 , No. 62172292 , and Science Foundation of Zhejiang Sci-Tech University (ZSTU) under Grants No. 22222266-Y .
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2023/3
Y1 - 2023/3
N2 - The integration of Metaverse and healthcare will improve the allocation and utilization of healthcare resources. Metaverse healthcare data is stored on a public server and downloaded using Artificial Intelligence devices. Patients are given a diagnosis promptly through Metaverse healthcare systems. However, storing Metaverse healthcare data on public servers leads to a variety of problems, such as leakage of patient health information and loss of vital medical record data. Attribute-based encryption (ABE) has played an important role in securely and efficiently Metaverse healthcare data sharing. In this paper, a feature-rich and efficient ABE-based Metaverse healthcare data sharing scheme is presented, which realizes constant encryption computation overhead according to a multi-server structure. To reduce the number of invalid ciphertexts and achieve secure deduplication, Metaverse healthcare ciphertext validity and equivalence detection are also provided in this scheme. Furthermore, a novel attribute-based re-encryption is proposed for authority delegation after deduplication. Finally, the experiment simulated on the PBC library shows that the proposed scheme possesses good performance. The freshness of Metaverse healthcare data and the utilization of the medical center's private server are ensured in this paper.
AB - The integration of Metaverse and healthcare will improve the allocation and utilization of healthcare resources. Metaverse healthcare data is stored on a public server and downloaded using Artificial Intelligence devices. Patients are given a diagnosis promptly through Metaverse healthcare systems. However, storing Metaverse healthcare data on public servers leads to a variety of problems, such as leakage of patient health information and loss of vital medical record data. Attribute-based encryption (ABE) has played an important role in securely and efficiently Metaverse healthcare data sharing. In this paper, a feature-rich and efficient ABE-based Metaverse healthcare data sharing scheme is presented, which realizes constant encryption computation overhead according to a multi-server structure. To reduce the number of invalid ciphertexts and achieve secure deduplication, Metaverse healthcare ciphertext validity and equivalence detection are also provided in this scheme. Furthermore, a novel attribute-based re-encryption is proposed for authority delegation after deduplication. Finally, the experiment simulated on the PBC library shows that the proposed scheme possesses good performance. The freshness of Metaverse healthcare data and the utilization of the medical center's private server are ensured in this paper.
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U2 - 10.1016/j.future.2022.10.031
DO - 10.1016/j.future.2022.10.031
M3 - Article
AN - SCOPUS:85141915107
SN - 0167-739X
VL - 140
SP - 299
EP - 310
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
ER -