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 Articles 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/. Title A name given to the resource Analysis of supervised and unsupervised technique for authentication dataset Subject The topic of the resource Authentication; Classification; Clustering; Supervised learning; Unsupervised learning Description An account of the resource Traditional methods of data storage vary from the present. These days data has become more unstructured and requires to be read contextually. Data Science provides a platform for the community to perform artificial intelligence and deep learning methodologies on large volumes of structured and unstructured data. In the era of artificial intelligence, AI is showing it's true potential by addressing social causes and automation in various industries such as automobile, medicine and smart buildings, healthcare, retail, banking, and finance service are some of the deliverables. From a variety of sources and flooding data, AI and machine learning are finding real-world adoption and applications. The nature of the data models is trial and error and is prone to change with their discoveries for the specific problem and this is the case with the different algorithms used. In this paper, we apply machine learning algorithms such as unsupervised learning k-means, bat k-means and supervised learning decision tree, k-NN, support vector machine, regression, discriminant analysis, ensemble classification for data set taken from UCI repository, phishing website, website phishing, Z- Alizadeh Sani and authentication datasets. Authentication dataset is generated for testing Single Sign-on which learns from data by training to make predictions. 2018Rahul K. Dubey, P. K. Nizar Banu. Creator An entity primarily responsible for making the resource Dubey R.K.; Nizar Banu P.K. Source A related resource from which the described resource is derived International Journal of Engineering and Technology(UAE), Vol-7, No. 4, pp. 2867-2873. Publisher An entity responsible for making the resource available Science Publishing Corporation Inc Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14419/ijet.v7i4.9564" target="_blank" rel="noreferrer noopener">https://doi.org/10.14419/ijet.v7i4.9564</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057806369&amp;doi=10.14419%2Fijet.v7i4.9564&amp;partnerID=40&amp;md5=75c22c079386a1fd5056f64e1965de83" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057806369&amp;doi=10.14419%2fijet.v7i4.9564&amp;partnerID=40&amp;md5=75c22c079386a1fd5056f64e1965de83</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2227524X 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dubey R.K., Department of computer science, CHRIST (Deemed to be University), Bengaluru, India; Nizar Banu P.K., Department of computer science, CHRIST (Deemed to be University), Bengaluru, India