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 CloudML: Privacy-Assured Healthcare Machine Learning Model for Cloud Network Subject The topic of the resource Cloud privacy; Clustering; Encryption; Healthcare datasets; Machine learning; Network performance Description An account of the resource Cloud computing is the need of the twenty-first century with an exponential increase in the volume of data. Compared to any other technologies, the cloud has seen fastest adoption in the industry. The popularity of cloud is closely linked to the benefits it offers which ranges from a group of stakeholders to huge number of entrepreneurs. This enables some prominent features such as elasticity, scalability, high availability, and accessibility. So, the increase in popularity of the cloud is linked to the influx of data that involves big data with some specialized techniques and tools. Many data analysis applications use clustering techniques incorporated with machine learning to derive useful information by grouping similar data, especially in healthcare and medical department for predicting symptoms of diseases. However, the security of healthcare data with a machine learning model for classifying patients information and genetic data is a major concern. So, to solve such problems, this paper proposes a Cloud-Machine Learning (CloudML) Model for encrypted heart disease datasets by employing a privacy preservation scheme in it. This model is designed in such a way that it does not vary in accuracy while clustering the datasets. The performance analysis of the model shows that the proposed approach yields significant results in terms of Communication Overhead, Storage Overhead, Runtime, Scalability, and Encryption Cost. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Savitha S.; Ravichandran S.K. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-213, pp. 51-64. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-2422-3_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-2422-3_5</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115172237&amp;doi=10.1007%2F978-981-16-2422-3_5&amp;partnerID=40&amp;md5=df2db7df7e45b9f22f7a937c73565bf3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115172237&amp;doi=10.1007%2f978-981-16-2422-3_5&amp;partnerID=40&amp;md5=df2db7df7e45b9f22f7a937c73565bf3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981162421-6 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 Savitha S., Department of Computer Science and Engineering, Christ University, Bangalore, India; Ravichandran S.K., Department of Computer Science and Engineering, Christ University, Bangalore, India