首页|ECMO: An Efficient and Confidential Outsourcing Protocol for Medical Data

ECMO: An Efficient and Confidential Outsourcing Protocol for Medical Data

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Cloud computing has significantly advanced medical data storage capabilities, enabling healthcare institutions to outsource data management. However, this shift introduces critical security and privacy risks, as sensitive patient information is stored on untrusted third-party servers. Existing cryptographic solutions, such as searchable encryption, offer some security guarantees but struggle with challenges like leakage-based attacks, high computational overhead, and limited scalability. To address these limitations in medical data outsourcing, we present ECMO, a novel protocol that combines an ordered additive secret sharing algorithm with a unique index permutation method. This approach efficiently outsources medical data while safeguarding both the data itself and access patterns from potential leakage. Our experimental results demonstrate ECMO's efficiency and scalability, with a single store operation containing 500 keywords taking only $42.5 \;\mu s$ on average.

CryptographySecurityMedical servicesServersOutsourcingMedical diagnostic imagingDatabasesAdditivesEncryptionProtocols

Xiangyi Meng、Yuefeng Du、Cong Wang

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City University of Hong Kong, Hong Kong, China|City University of Hong Kong Shenzhen Research Institute, Shenzhen, China

2025

IEEE Open Journal of the Computer Society

IEEE Open Journal of the Computer Society

ISSN:
年,卷(期):2025.6(1)
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