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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Sandeep, C.S.; Yadav, Sameer; Kumar, B. Rajesh; Baranidharan, S.; Vijayaraj, T.; Lakineni, Prasanna Kumar Title A name given to the resource A Novel Network-Based Digital Payment Fraud Detection using OP-ELM Network Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 3rd International Conference on Data Science and Information System, ICDSIS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICDSIS65355.2025.11070833" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDSIS65355.2025.11070833</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011822281?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011822281?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sandeep C.S., Jawaharlal College of Engineering and Technology, Department of Electronics and Communication Engineering, Palakkad, India; Yadav S., University of Allahabad, Department of Commerce and Business Administration, Prayagraj, India; Kumar B.R., Dhanalakshmi Srinivasan College of Engineering, Department of Computer Science and Engineering, Coimbatore, India; Baranidharan S., Christ University, School of Business and Management, Bangalore, India; Vijayaraj T., Prince Shri Venkateshwara Padmavathy Engineering College, Department of Mechanical Engineering, Chennai, India; Lakineni P.K., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Vaddeswaram, India Description An account of the resource Internet and Industry 4.0 have helped banks and other financial organizations enhance procedures and decrease fraud. Digital payment techniques have helped internet buying skyrocket. Industry 4.0 promotes process optimization, ecosystem collaboration, and growth by integrating digital systems with physical and IoT devices. Unfortunately, digital payment cybercrime has grown rapidly, causing large annual financial losses. Because of this, fraud detection systems must be constantly improved. The suggested TLELM approach includes preprocessing, feature selection, and model training. Preprocessing involves standardizing data, eliminating outliers, and handling null or missing values. The CSO technique selects relevant features by optimizing selection. A new approach combining TL and ELM improves DPFD procedures. The new metaheuristic TL excels at combinatorial optimization. TLELM efficacy was examined using multiple datasets. The recommended method was compared to top-tier algorithms for binary and multiclass data categorization. Experimental data shows that TLELM outperforms other models with 99.37% accuracy. This study found that TLELM can detect online payment fraud. The method optimizes fraud detection and classification accuracy using TL and ELM. Add more real-world datasets to strengthen robustness and make additional improvements to handle future fraud methods. 2025 IEEE. Subject The topic of the resource competitive swarm optimization (CSO); digital payment fraud detection (DPFD); extreme learning machine (ELM); single layer feedforward neural network (SLFN); transformer learning (TL) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833154265-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online