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Secured blind digital certificate and Lamport Merkle cloud assisted medical image sharing using blockchain

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Abstract

In the standard Electronic Health Record (EHR) management system, the medical service center supervises and dispenses the corresponding health records that are found to be a laborious process for sharing on several medical platforms. In recent years, blockchain technology has started gaining as one of the most favored possibilities based on dissimilar platforms to share EHRs. However, with the increased nature and size of the EHR storing data also involves a tedious process. The computation and communication cost are the challenges involved in accessing medical image information is not analyzed. The falsification rate for HER was not focused. To sort out this issue, the cloud computing (CC) environment is contemplated as an encouraging solution. Woefully, the EHR with CC environment is found to be susceptible to several attacks due to the sending of sensitive medical image data over a public channel. A secured method with Blind Digital Certificate and Lamport Merkle (BBDC-LM) Cloud-assisted Medical Image Sharing using Blockchain is proposed in our work. In the proposed BBDC-LM method, blockchain performs the task of access control and therefore ensuring security and minimum falsification of the entire process. Blind Digital Certificate is used for generating keys to contribute communication and computational cost. On the other hand, the cloud server stores and manages the patient’s five different classes of images (i.e., MRI, CT, X-ray, Annotated, and Ultrasound) to provide computationally efficient storage. The empirical results show that our proposed BBDC-LM method provides an efficient solution for reliable medical image data sharing between patients and medical analyzers in a secured manner. Lamport Merkle functions where the leaves from the authentication among patient and medical analyzer are performed by cloud server. The system evaluation and security analysis also demonstrate the performance improvements in minimum communication and computation cost with a minimum false positive rate compared to the existing medical image sharing methods.

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Correspondence to C. Edward Jaya Singh.

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Singh, C.E.J., Jagatheeswari, A. Secured blind digital certificate and Lamport Merkle cloud assisted medical image sharing using blockchain. Multimed Tools Appl 82, 9323–9342 (2023). https://doi.org/10.1007/s11042-022-13719-w

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