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 Hemalatha Yadav, J.; Arora, Kapil; Salgotra, Priyanka; Dawod, NajimAubed; Patil, Amit Kumar; Kataria, Abhinav Title A name given to the resource Cognitive IoT-Integrated Real-Time Transaction Monitoring System for Financial Security 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 Proceedings - 2025 International Conference on Recent Innovation in Science Engineering and Technology, ICRISET 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRISET64803.2025.11251638" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRISET64803.2025.11251638</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031406686?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031406686?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 Hemalatha Yadav J., Alliance University, Bangalore, India; Arora K., Alliance University, Alliance School of Business, Department of Management, Bangalore, India; Salgotra P., Maharishi Markandeshwar (Deemed to be) University, Maharishi Markandeshwar Institute of Management, (Ambala) Haryana, Mullana, India; Dawod N., Al-Nisour University College, Department of Medical Laboratories, Nisour Seq. Karkh, Baghdad, Iraq; Patil A.K., Mit Art, Design and Technology University, Department of Ece, Pune, India; Kataria A., Christ Deemed to be University, Delhi NCR Campus, India Description An account of the resource As financial transactions become more complex in terms of the digitally connected environment, smart and real-time monitoring systems are required to fight off fraud and guarantee safety. The paper proposes a Cognitive IoT based Real-Time Transaction Monitoring System which is a proposed system to the financial sector. The proposed model resorts to the Z-Score normalization as a means of pre-processing the data and Recursive Feature Elimination with Random Forest as a method of selecting the most relevant features affecting the behavior of transactions. As the main type of classifier, a hybrid LSTM-Autoencoder model is used that makes it possible to reliably detect anomalies both using sequential and reconstruction-based learning. Developed on top of TensorFlow and its federated learning extensions, the system maintains the privacy of its user data by supporting decentralized training of edge devices. Experimental tests indicate higher results over the detection accuracy, which reduces false positives, and real-time reactivity. It is a scalable, safe, flexible system that can be used to monitor financial transactions efficiently, using the combined potential of the cognitive computer, the IoT environment, and powerful machine learning to respond to the dynamic nature of financial security issues. 2025 IEEE. Subject The topic of the resource Anomaly Detection; Cognitive IoT; Feature Selection; Federated Learning; Financial Security; LSTM-Autoencoder; Real-Time Monitoring Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833155833-8; 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