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 Strengthening the Security of IoT Devices Through Federated Learning: A Comprehensive Study Subject The topic of the resource Adversarial Intrusions; Device Tampering; Federated AI Technology Enabler (FATE); Federated Learning; Inclusion/Exclusion Criteria; Internet of Things (IoT); Sensor-Data Manipulation Description An account of the resource There is a strong need for having an operative security framework which can help in making IoT (Internet of Things) devices more secure and reliable which can further protect from adversarial intrusions. Federated Learning, due to its decentralized architecture, has emerged as one of the ideal choices by the research practitioners in order to protect sensitive data from wide IoT-based attacks like DoS (Denial of Service) attack, Device Tampering, Sensor-Data manipulation etc. This paper discusses the significance of federated learning in addressing security concerns with IoT (Internet of Things) devices and how those issues can be minimized with the use of Federated Learning has been deliberated with the help of comparative analysis. In order to perform this comparative analysis, we investigated the published work in FL based IoT application for the last five years i.e., 2018-2022. We have defined a few inclusion/exclusion criteria and based on that we selected the desired paper and provided a comprehensive solution to IoT based applications using FL approach. Federated learning offers an optimistic approach to intensify security in IoT environments by enabling collaborative model training while preserving information privacy. In this paper a framework named Federated AI Technology Enabler (FATE) has been envisaged which is one of the recommended frameworks in safeguarding security and privacy measures of IoT devices. 2024 IEEE. Creator An entity primarily responsible for making the resource Raj A.; Sharma V.; Rani S.; Shanu A.K.; Kumar N. Source A related resource from which the described resource is derived 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. 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/10.1109/ICRITO61523.2024.10522388" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO61523.2024.10522388</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193834416&amp;doi=10.1109%2FICRITO61523.2024.10522388&amp;partnerID=40&amp;md5=5374736862edd3a6aa1cb7497b681793" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193834416&amp;doi=10.1109%2fICRITO61523.2024.10522388&amp;partnerID=40&amp;md5=5374736862edd3a6aa1cb7497b681793</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035035-7 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 Raj A., Scse Galgotias University, Greater Noida, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi-NCR, India; Rani S., Amity Institute of Information Technology, Amity University, Auup, Noida, India; Shanu A.K., Scse Galgotias University, Greater Noida, India; Kumar N., School of Computing, Dublin City University, Ireland