The sharing of pathological data is highly important in various applications,such as remote diagnosis,graded diagnosis,illness treatment,and specialist system ***,ensuring reliable,secure,privacy-preserving,and effici...
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The sharing of pathological data is highly important in various applications,such as remote diagnosis,graded diagnosis,illness treatment,and specialist system ***,ensuring reliable,secure,privacy-preserving,and efficient sharing of pathological data poses significant *** paper presents a novel solution that leverages blockchain technology to ensurereliability in pathological data ***,it employs conditional proxy re-encryption(C-Pre)and public key encryption with equality test technology to control the scope and preserve the privacy of shared *** assess the practicality of our solution,we implemented a prototype system using Hyperledger Fabric and conducted evaluations with various *** also compared the solution with relevant *** results demonstrate that the proposed solution effectively meets the requirements for pathological data sharing and is practical in production scenarios.
Electronic medical record (EMR) Sharing can reduce duplicate medical tests, reduce treatment costs and improve the quality of medical services. However, most medical organizations currently use the internal network to...
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ISBN:
(纸本)9783031231971;9783031231988
Electronic medical record (EMR) Sharing can reduce duplicate medical tests, reduce treatment costs and improve the quality of medical services. However, most medical organizations currently use the internal network to track patients but don't implement data sharing with other medical organizations. Meanwhile, the EMR is also highly vulnerable to theft and tampering by malicious attackers. To solve the above problems, we design a privacy-preserving EMR sharing system model based on consortium blockchain, called EMRShareChain. In EMRShareChain, multiple medical organizations firstly spontaneously build up a medical consortium. The EMR generated by a patient's treatment at a medical organization is encrypted and stored securely in the cloud, and the index of the EMR is stored in the blockchain. With the above storage method, not only the risk of EMR leakage is reduced, but also the EMR cannot be tampered with arbitrarily. Then, other organizations in the medical consortium can find the patient's relevant EMR in the blockchain by keywords in the index and keyword searchable encryption, and obtain the EMR key and EMR storage address generated by the conditional proxy re-encryption after the patient's authorization to achieve access to the EMR and data sharing. In addition, an improved PBFT consensus algorithm (I-PBFT) based on comprehensive scoring mechanism is proposed to improve the blockchain block-out efficiency and stability, making it more suitable for medical scenarios. Finally, a prototype implementation of the above model is carried out based on the Hyperledger Fabric framework. The Hyperledger fabric chaincode is accessible at https://***/xl13455/EMRShareChain and code can be downloaded.
The cloud-aided sharing of e-healthcare data has great positive significance for research. However, due to the privacy consideration, these data are usually encrypted before uploading to the cloud server which impedes...
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The cloud-aided sharing of e-healthcare data has great positive significance for research. However, due to the privacy consideration, these data are usually encrypted before uploading to the cloud server which impedes data sharing between different medical institutions. conditional proxy re-encryption (CPre) allows the proxy to converse ciphertext, especially by specifying a condition embed in the re-encryption key to achieve fine-grained access control over the ciphertext. Unfortunately, existing CPre schemes cannot ensure the privacy of the condition, which may contain some sensitive private information. Furthermore, a malicious proxy server may return part of the results and even false data to save its computation or bandwidth. To solve these problems, we propose a blockchain-based condition invisible proxyre-encryption scheme for the e-healthcare system. The proposed scheme guarantees the confidentiality of the data by hiding the condition in the re-encryption key so that the proxy cannot learn anything about the condition. Moreover, the ciphertext-searching algorithm is leveraged by executing the smart contract in the blockchain which ensures the results are correct and complete. Finally, experiment results demonstrate the practicability of the proposed scheme in applications.
The convenience of the cloud-assisted Internet of Things has led to the need for improved protections for the large volumes of data collected from devices around the world and stored on cloud-based servers. proxyre-e...
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The convenience of the cloud-assisted Internet of Things has led to the need for improved protections for the large volumes of data collected from devices around the world and stored on cloud-based servers. proxyre-encryption (Pre) has been presented as a suitable mechanism for secure transmission and sharing of files within the cloud. However, existing Pre schemes do not support unidirectional data transformation, fine-grained controls, multiple hops, and identity-based encryption simultaneously. To solve these problems, we propose a unidirectional multi-hop identity based-conditional Pre scheme that meets all of the above requirements. Our proposal has the additional benefits of a constant ciphertext size, non-interactivity, and collusion resistance. We also prove that our scheme is secure against adaptive identity chosen-ciphertext attacks in the standard model.
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