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Non-interactive Secure Health Data Processing Using Attribute-Based Homomorphic Encryption in IoMT Networks
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Abstract: (4 Views) |
The Internet of Medical Things (IoMT) holds significant potential to revolutionize healthcare delivery. In IoMT-based systems, data users (such as doctors and physicians) often require processing of data collected from sensors attached to data owners, typically patients. Due to the limited computational resources of these sensors, secure outsourcing of data to cloud infrastructures becomes inevitable. However, outsorcing sensitive information to untrusted cloud servers poses a serious threat to patient privacy. To mitigate this risk, data is usually encrypted before being uploaded; yet this hinders the ability to process it directly.
Homomorphic encryption (HE) emerges as a promising solution, as it allows computations to be performed directly on encrypted data without requiring decryption. Despite its advantages, HE introduces several challenges: most notably, decryption of computation results requires access to the data owner’s private key. This either necessitates their constant online presence or obliges them to share their private key with users, both of which conflict with fundamental security principles. The problem becomes even more complex when dealing with data belonging to multiple owners. Furthermore, if the processed result contains sensitive information, granting patients access to it may unintentionally disclose private data of other patients, thereby breaching privacy.
To address these limitations, we propose a Non-Interactive Attribute-based Homomorphic Computation scheme called NAHC. Our scheme leverages the combined strengths of HE, access control, and non-interactivity to enable secure processing of encrypted data without requiring interaction between data owners and data users. In NAHC, each data owner encrypts their data using their private key and uploads it to the cloud. Users can choose the desired encrypted data from the cloud and outsource their own encrypted queries for processing. Finally, if authorized, they are able to decrypt the result without knowing the operations performed on the encrypted data and without any interaction with the data owners.
Security and performance evaluations demonstrate that NAHC provides provable security while remaining practically efficient and suitable for deployment in real-world IoMT scenarios. |
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| Keywords: Internet of Medical Things, secure computation, non-interactive protocol, Attribute-based Homomorphic encryption, access control. |
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Full-Text [PDF 4163 kb]
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Type of Study: Research Article |
Subject:
Cryptology and Information Security
Received: 2025/06/29 | Accepted: 2026/08/5 | Published: 2026/09/15
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