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 A Novel Edge-Based Trust Management System for the Smart City Environment Using Eigenvector Analysis Description An account of the resource The proposed Edge-based Trust Management System (E-TMS) uses an Eigenvector-based approach for eliminating the security threats present in the Internet of Things (IoT) enabled smart city environment. In most existing trust management systems, the trust aggregation process completely depends on the direct trust ratings obtained from both legitimate and malicious neighboring IoT devices. E-TMS possesses an edge-assisted two-level trust computation approach for ensuring the malicious free trust evaluation of IoT devices. The E-TMS aims at removing the false contribution on aggregated trust data. It utilizes the properties of the Eigenvector for identifying compromised IoT devices. The Eigenvector Analysis also helps to avoid false detection. The analysis involves a comparison of all the contributed trust data about every single connected device. A spectral matrix will be generated corresponding to the contributions and the received trust will be scaled based on the obtained spectral values. The absolute sum of obtained values will contain only true contributions. The accurate identification of false data will remove the effect of malicious contributions from the final trust value of a connected IoT device. Since the final trust value calculated by the edge node contains only the trustworthy data, the prediction about the malicious nodes will be accurate. Eventually, the performance of E-TMS has been validated. Throughput and network resilience are higher than the existing system. 2022 G. Nagarajan et al. Creator An entity primarily responsible for making the resource Nagarajan G.; Simpson S.V.; Venkatachalam K.; Alrasheedi A.F.; Askar S.S.; Abouhawwash M.; Parthasarathi P. Source A related resource from which the described resource is derived Journal of Healthcare Engineering, Vol-2022 Publisher An entity responsible for making the resource available Hindawi Limited Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1155/2022/5625897" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/5625897</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131455042&amp;doi=10.1155%2F2022%2F5625897&amp;partnerID=40&amp;md5=ea30f1395b138a7e4c82ffab0098865b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131455042&amp;doi=10.1155%2f2022%2f5625897&amp;partnerID=40&amp;md5=ea30f1395b138a7e4c82ffab0098865b</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20402295; PubMed ID: 35663279 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 Nagarajan G., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India; Simpson S.V., Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Kerala, India; Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bangalore, 560074, India; Alrasheedi A.F., Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Askar S.S., Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Abouhawwash M., Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt, Department of Computational Mathematics Science and Engineering (CMSE), Michigan State University, East Lansing, 48824, MI, United States; Parthasarathi P., Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Erode, India