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 Parashar, Jyoti; Hung, Bui Thanh; Upreti, Kamal; Kshirsagar, Pravin R.; Mahajan, Shubham; Kadry, Seifedine Title A name given to the resource An enhanced hybrid framework for IoT healthcare security using blockchain-driven multimedia data analysis and cybersecurity techniques Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Array;Volume;30;Issue;;Article No.;100759; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.array.2026.100759" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.array.2026.100759</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034386847?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034386847?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 Parashar J., Department of Computer Science and Engineering, Panipat Institute of Engineering and Technology (PIET), Haryana, India; Hung B.T., Data Science Laboratory, Data Science Department, Faculty of Information Technology, Industrial University of Ho Chi Minh City, Viet Nam; Upreti K., Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR Campus, Ghaziabad, India; Kshirsagar P.R., Department of Electronics &amp; Telecommunication Engineering, J D College of Engineering &amp; Management, Maharashtra, Nagpur, India; Mahajan S., Amity School of Engineering &amp; Technology, Amity University, Haryana, India; Kadry S., Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon Description An account of the resource In the era of digital healthcare, safeguarding sensitive patient information while ensuring real-time access and decision-making is paramount. This study presents a novel Hybrid Blockchain-IoT Framework for secure healthcare data management, integrating Elman neural networkbased Blowfish encryption with blockchain and deep anomaly detection. The framework leverages IoT sensor data and utilizes a Proof-of-Authority (PoA) consensus mechanism to ensure tamper-proof transaction recording across decentralized nodes. A Long Short-Term Memory (LSTM) autoencoder combined with a Support Vector Machine (SVM) classifier enables accurate anomaly detection, while cryptographic functions ensure privacy and data integrity. The proposed system is evaluated using a healthcare dataset comprising over 1000 patient records across three network configurations (195, 585, and 1171 nodes). Results demonstrate a Wormhole Attack Probability (%) as low as 1.1%, Product Drop Ratio (%) between 1.2 and 2.7%, and Authentication Delay under 111 msoutperforming existing systems. Although the anomaly detection accuracy (98.98%) and F1-Score (0.90) are slightly below leading deep learning models, our framework uniquely combines encrypted transmission, distributed validation, and intelligent threat detection in a practical healthcare setting. The architecture ensures security, scalability, and efficiency, positioning it as a robust solution for next-generation smart healthcare ecosystems. 2026 The Authors Subject The topic of the resource Blockchain technology; Data management; IOT; Privacy; Security; Smart healthcare Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 25900056; 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 All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online