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Merkle tree-blockchain-assisted privacy preservation of electronic medical records on offering medical data protection through hybrid heuristic algorithm

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Abstract

A growing number of medical records are changed by the electronic folders that can be shared and transmitted in real-time in recent years as a result of the speedy improvement of data mechanisms and network methodologies. Yet, security breaches and privacy issues could affect medical data sent over open communication channels. Due to its distinctive qualities including immutability, blockchain technology, anonymity, decentralization, and, verifiability has drawn more notice in various fields. With a variety of multimedia techniques, healthcare organizations all over the globe are evolving into more user-centered, harmonized, and effective models. The management of enormous amounts of information, like records and photographs of all the individual improve the person's labor requirements and the security hazards. Recent advances in the healthcare industry have led to the creation of enormous numbers of electronic health records (EHRs). The owner of the data can manage the EHR data and share thanks with certain individuals in the EHR system. It is challenging for information to guarantee protection and detection procedures due to the enormous amount of information in the medical care models. Hence, in order to secure the EHR, the development of artificial intelligence techniques like blockchain and a new privacy preservation model is recommended for this work. Particularly, the Merkle tree is a key component of blockchain technology. In this proposed model, the Merkle tree is applied that helps for effective and safe authentication of huge data frameworks with the purpose of verifiability of the posted patient data. This model consists of two main phases, such as data sanitization and data restoration. Here, the sanitization operation is based on the creation of the optimal key using a new iteration-based firefly reptile search algorithm (IFRSA). The creation of the optimal key is established by functioning a multi-objective function which includes the factors like Euclidean distance, hiding ratio, and, data preservation ratio among encrypted data using the original key and the key with a variation. Finally, the electronic health care model becomes more private, dependable, and helpful through our suggested system. The comparison shows the supremacy of the developed approach.

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Authors and Affiliations

  1. Computer Science and Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, India

    M. Lakshmanan

  2. Computer Science and Engineering, Easwari Engineering College, Chennai, India

    G. S. Anandha Mala

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  1. M. Lakshmanan
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All authors have made substantial contributions to conception and design, revising the manuscript, and the final approval of the version to be published. Also, all authors agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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Lakshmanan, M., Anandha Mala, G.S. Merkle tree-blockchain-assisted privacy preservation of electronic medical records on offering medical data protection through hybrid heuristic algorithm. Knowl Inf Syst 66, 481–509 (2024). https://doi.org/10.1007/s10115-023-01937-z

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  • DOI: https://doi.org/10.1007/s10115-023-01937-z

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