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 Kola, Sangeetha Supriya; Lovesum, Jeno S.P. Title A name given to the resource A NOVEL DATA SECURE MODEL FOR INTERNET OF HEALTH THINGS WITH A NEW LIGHTWEIGHT CRYPTOGRAPHY ALGORITHM AND STEGANOGRAPHY TECHNIQUE 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 Journal of Theoretical and Applied Information Technology;Volume;104;Issue;1;pp.378-390 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5281/zenodo.18260371" target="_blank" rel="noreferrer noopener">https://doi.org/10.5281/zenodo.18260371</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033630615?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033630615?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 Kola S.S., Department of CSE, Christ University, India; Lovesum J.S.P., Department of CSE, Christ University, India Description An account of the resource Ensuring the security of data in Internet of Things (IoT) based healthcare systems (HS) presents considerable challenges due to the limitations of traditional embedding methods and cryptography techniques, leading to more memory consumption, more execution time, less security, inadequate payload capacity, and performance inefficiencies. To address these issues, the Bernoulli Fish-based Stego Algorithm (BFBSA) is introduced as an innovative solution. Specifically designed for IoT healthcare data, this algorithm is validated through the encryption and embedding of healthcare data. The process involves initializing IoT healthcare data, encrypting it using the BFBSA algorithm, and embedding the encrypted data within steganographic images. Performance analysis is conducted using key metrics such as payload capacity, encryption time, memory usage, PSNR, and MSE. Comparative analysis with existing approaches highlights the BFBSA models efficiency and its effectiveness in ensuring secure and optimized data management in IoT healthcare environments. Little Lion Scientific Subject The topic of the resource Crypto Algorithm; Data Security; Embedding Image; Encryption; IoT Healthcare Publisher An entity responsible for making the resource available Little Lion Scientific Relation A related resource ISSN: 19928645; 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