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 Securing the Digital Realm: Unmasking Fraud in Online Transactions Using Supervised Machine Learning Techniques Subject The topic of the resource Classification; Credit cards; Cyber security; Edited nearest neighbor; Fraud detection; Imbalanced datasets; Machine learning; Online transactions; SMOTE Description An account of the resource A key component of contemporary banking systems and e-commerce platforms is identifying fraud in online transactions. Traditional rule-based techniques are insufficient for preventing sophisticated fraud schemes because of the increasing complexity and number of expanding online transactions. This research study examines the development of fraud detection methods, emphasizing data analytics and machine learning (ML) models. The study also focuses on the fact that developing efficient fraud detection systems requires continuous observation, data preprocessing, feature selection, and testing of models. Seven ML models, Logistic Regression (LR), Decision Trees (DT), k-Nearest Neighbors (kNN), Nae Bayes (NB), Support Vector Machine (SVM), Random Forests (RF), and Extreme Gradient Boosting (XGBoost) are considered for classifying the dataset into fraudulent or not. During the experimentation study, it was observed that XGBoost yielded the highest accuracy of 99% when compared to other models. Users can determine which features significantly influence the model's predictions by using XGBoost's feature significance insights. Additionally, XGBoost provides integrated support for managing missing values in data, negating the requirement for imputation and other preprocessing procedures. Due to these, it performed better. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Reddy G.Y.; Kokatnoor S.A.; Kumar S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1121 LNNS, pp. 477-489. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7423-4_37" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7423-4_37</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213021005&amp;doi=10.1007%2F978-981-97-7423-4_37&amp;partnerID=40&amp;md5=f874df7607284850610d045bd73b4b56" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213021005&amp;doi=10.1007%2f978-981-97-7423-4_37&amp;partnerID=40&amp;md5=f874df7607284850610d045bd73b4b56</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981977422-7 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 Reddy G.Y., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bangalore, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bangalore, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bangalore, India