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Multi-server assisted data sharing supporting secure deduplication for metaverse healthcare systems
Future Generation Computer Systems ( IF 6.2 ) Pub Date : 2022-11-04 , DOI: 10.1016/j.future.2022.10.031
Tao Zhang , Jian Shen , Chin-Feng Lai , Sai Ji , Yongjun Ren

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.



中文翻译:

支持 Metaverse 医疗保健系统安全重复数据删除的多服务器辅助数据共享

元界与医疗的融合将改善医疗资源的配置和利用。元界医疗保健数据存储在公共服务器上,并使用人工智能设备下载。通过 Metaverse 医疗保健系统及时为患者提供诊断。然而,将元界医疗保健数据存储在公共服务器上会导致各种问题,例如患者健康信息的泄露和重要病历数据的丢失。基于属性的加密(ABE)在安全高效地共享元界医疗保健数据方面发挥了重要作用。在本文中,提出了一种基于 ABE 的丰富且高效的元界医疗保健数据共享方案,该方案根据多服务器结构实现了恒定的加密计算开销。为减少无效密文数量,实现安全去重,本方案还提供了元界医疗密文有效性和等价性检测。此外,提出了一种新的基于属性的重加密用于去重后的授权。最后在PBC库上的仿真实验表明,所提方案具有良好的性能。保证了元界医疗数据的新鲜度和医疗中心私服的利用率。在PBC库上的仿真实验表明,该方案具有良好的性能。保证了元界医疗数据的新鲜度和医疗中心私服的利用率。在PBC库上的仿真实验表明,该方案具有良好的性能。保证了元界医疗数据的新鲜度和医疗中心私服的利用率。

更新日期:2022-11-04
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