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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 An Efficient and Robust Explainable Artificial Intelligence for Securing Smart Healthcare System Subject The topic of the resource Explainable Artificial Intelligence; IoT; Security; Smart Healthcare Description An account of the resource The advent of IoT technologies has a tremendous impact on the healthcare sector enabling efficient monitoring of patients and utilizing the data for better analytics. Since every activity related to a patients health is monitored, the focus on smart healthcare applications has significantly transferred from service provision to a security perspective. As most healthcare applications are automated security plays a vital role. The technique of machine learning has been widely used in securing smart healthcare systems. The major challenge is that these applications require high-quality labeled images, which are difficult to acquire from real-time security applications. Further, it highly time-consuming and cost-expensive process. To address these constraints, in this paper, we define an efficient and robust explainable artificial intelligence technique that takes a small quantity of labeled data to train and de-ploy the security countermeasure for targeted healthcare applications. The proposed approach enhances the security measure through the detection of drifting samples with explainability. It is observed that the proposed approach improved accuracy, high fidelity, and explanation measures. Also, this approach is proven to be considerably resistant against numerous security threats. 2023 IEEE. Creator An entity primarily responsible for making the resource Seetharaman T.; Sharma V.; Balamurugan B.; Grover V.; Agnihotri A. Source A related resource from which the described resource is derived 2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023, pp. 1066-1071. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SmartTechCon57526.2023.10391664" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SmartTechCon57526.2023.10391664</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184799769&amp;doi=10.1109%2FSmartTechCon57526.2023.10391664&amp;partnerID=40&amp;md5=c133e7ba5cc502b676dd4c3bda212643" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184799769&amp;doi=10.1109%2fSmartTechCon57526.2023.10391664&amp;partnerID=40&amp;md5=c133e7ba5cc502b676dd4c3bda212643</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030541-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Seetharaman T., Department of CSE, CMR University, Bangalore, India; Sharma V., Computer Science Department, CHRIST (Deemed to be University), India; Balamurugan B., Shiva Nadar University, India; Grover V., School of Management, Noida Institute of Engineering and Technology, India; Agnihotri A., School of Business, Galgotias University, India