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; Upreti, Kamal Title A name given to the resource A Novel Blockchain-Integrated Deep Learning Framework for Securing Smart Healthcare Communication Networks 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 Computational Intelligence;Volume;41;Issue;6;Article No.;e70132; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1111/coin.70132" target="_blank" rel="noreferrer noopener">https://doi.org/10.1111/coin.70132</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105020379435?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020379435?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, India; Dua S., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, India; Shoran P., School of Sciences, Christ University, Uttar Pradesh, Ghaziabad, India; Upreti K., School of Sciences, Christ University, Uttar Pradesh, Ghaziabad, India Description An account of the resource With the rapid expansion of intelligent medical equipment and their interconnectedness through the Internet of Things (IoT), addressing safety issues in the communicating system has become increasingly critical. A learning mechanism is proposed for an intelligent healthcare-based communication system that uses blockchain for secure network communication and incorporates a data evaluation layer based on cloud which actively segregates and ranks transactions into three main categories: Good, Moderate, and Malware. Fog servers are utilized to route the communicating nodes via Rician and Rayleigh channels. The learning mechanism employs a deep neural network to instruct and classify categories, thereby improving the blockchain layer's decision-making process. This paper introduces several significant contributions, such as the development of a secure blockchain framework for user authentication and a protected digital ledger for communication. Additionally, it incorporates a cloud-driven data analysis layer combined with a neural network to improve training accuracy and category classification. The developed algorithm surpassed the existing works in terms of quality of service (QoS) parameters with low latency, bit error rate (BER), higher signal to inference plus noise ratio (SINR), packet delivery ratio (PDR), true detection rate (TDR), false detection rate (FDR), and throughput. Also, a thorough comparison of consensus mechanisms like practical Byzantine fault tolerance (pBFT), proof of work (PoW), Raft, and Paxos is done to ensure which consensus helps optimize the proposed system in terms of security and fault tolerance with low latency and energy-efficient operations. It also establishes a secure and efficient communication network for smart healthcare, aimed at enhancing the overall quality of life for individuals. 2025 Wiley Periodicals LLC. Subject The topic of the resource blockchain technology; consensus mechanisms; fog computing; IoT security; neural network classification; smart healthcare communication Publisher An entity responsible for making the resource available John Wiley and Sons Inc Relation A related resource ISSN: 8247935; CODEN: COMIE 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