Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Malik, Rohit; Dua, Sakshi; Shoran, Preety Title A name given to the resource Blockchain-based node authentication algorithm for securing electronic health record data transmission Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Cluster Computing;Volume;28;Issue;8;Article No.;539; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10586-025-05214-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10586-025-05214-2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013659804?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013659804?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Malik R., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, 144411, India; Dua S., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, 144411, India; Shoran P., Department of Science, Christ University, Ghaziabad, 201003, India Description An account of the resource The advent of Internet of Things (IoT) technologies in healthcare has heightened risks to Electronic Health Records (EHRs), including authentication vulnerabilities and data privacy concerns. This study proposes a novel blockchain-based node authentication algorithm for IoT healthcare, integrating Hyperledger Fabric, Homomorphic Encryption, and Recurrent Neural Networks (RNN). Employing a dual-layer security approach, the methodology utilizes a challenge-response mechanism and dynamic key exchange to ensure tamper-proof data transmission. Encrypted processing preserves confidentiality, while machine learning enhances anomaly detection accuracy to 99.01%, achieving a security rate of 99%. Comprehensive evaluations demonstrate significant improvements in efficiency, scalability, and robustness, addressing latency and computational overhead challenges. By fusing blockchains immutability with intelligent encryption and authentication, this solution revolutionizes EHR protection in IoT environments and scalable healthcare data management. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. Subject The topic of the resource Blockchain; Data privacy; HealthCare; Hyperledger fabric; IoT; Security Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 13867857; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online