A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methods
Internet-based connectivity is commonplace in the modern world. Among the many uses of the Internet of Things (IoT) aimed at improving the efficacy and efficiency of municipal management, smart Hospital figure prominently. Strong privacy protection measures are necessary since IoT devices in these s...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_03003.pdf |
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| author | Irin Loretta G. Settu Ashwini Prameela M. Naga Malleswara Rao D.S. Kalaiyarasi M. Saravanan S. |
| author_facet | Irin Loretta G. Settu Ashwini Prameela M. Naga Malleswara Rao D.S. Kalaiyarasi M. Saravanan S. |
| author_sort | Irin Loretta G. |
| collection | DOAJ |
| description | Internet-based connectivity is commonplace in the modern world. Among the many uses of the Internet of Things (IoT) aimed at improving the efficacy and efficiency of municipal management, smart Hospital figure prominently. Strong privacy protection measures are necessary since IoT devices in these smart Hospital frequently gather sensitive data. Enough privacy protection isn’t offered by the smart Hospital systems now in use. Differential Privacy-Preserving Smart Hospital (DP Smart Hospital) is a novel approach that we introduce to address this. DP Smart Hospital uses Laplace or exponential distributions in differential privacy strategies to protect sensitive data generated by IoT devices. After that, the altered data is delivered to a controller, which then sends it on to an Omada Software controller, the cloud, and finally another controller for more examination. Direct uploads of non-sensitive material to the cloud. Device privacy is difficult for adversaries to undermine in this dynamic privacy-preserving environment. Because the solution only adds 10–18% overhead to IoT devices, it is appropriate for devices that can handle this extra load. |
| format | Article |
| id | doaj-art-907ff2ff96274138b3e6791165ed6eef |
| institution | DOAJ |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-907ff2ff96274138b3e6791165ed6eef2025-08-20T03:16:19ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016160300310.1051/e3sconf/202561603003e3sconf_icregcsd2025_03003A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methodsIrin Loretta G.0Settu Ashwini1Prameela M.2Naga Malleswara Rao D.S.3Kalaiyarasi M.4Saravanan S.5Department of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS)Department of CSE, CMR Institute of TechnologyB V Raju Institute of TechnologyGokaraju Rangaraju Institute of Engineering and TechnologyDepartment of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS)B V Raju Institute of TechnologyInternet-based connectivity is commonplace in the modern world. Among the many uses of the Internet of Things (IoT) aimed at improving the efficacy and efficiency of municipal management, smart Hospital figure prominently. Strong privacy protection measures are necessary since IoT devices in these smart Hospital frequently gather sensitive data. Enough privacy protection isn’t offered by the smart Hospital systems now in use. Differential Privacy-Preserving Smart Hospital (DP Smart Hospital) is a novel approach that we introduce to address this. DP Smart Hospital uses Laplace or exponential distributions in differential privacy strategies to protect sensitive data generated by IoT devices. After that, the altered data is delivered to a controller, which then sends it on to an Omada Software controller, the cloud, and finally another controller for more examination. Direct uploads of non-sensitive material to the cloud. Device privacy is difficult for adversaries to undermine in this dynamic privacy-preserving environment. Because the solution only adds 10–18% overhead to IoT devices, it is appropriate for devices that can handle this extra load.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_03003.pdf |
| spellingShingle | Irin Loretta G. Settu Ashwini Prameela M. Naga Malleswara Rao D.S. Kalaiyarasi M. Saravanan S. A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methods E3S Web of Conferences |
| title | A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methods |
| title_full | A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methods |
| title_fullStr | A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methods |
| title_full_unstemmed | A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methods |
| title_short | A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methods |
| title_sort | flexible privacy preservation approach for iot driven smart hospital employing diverse distribution methods |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_03003.pdf |
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