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 Performance Evaluation of Predicting IoT Malicious Nodes Using Machine Learning Classification Algorithms Subject The topic of the resource Classification Algorithms; Internet of Things (IoT); Machine Learning; Malicious Nodes; Network Security Description An account of the resource The prediction of malicious nodes in Internet of Things (IoT) networks is crucial for enhancing network security. Malicious nodes can significantly impact network performance across various scenarios. Machine learning (ML) classification algorithms provide binary outcomes ("yes" or "no") to accurately identify these nodes. This study implements various classifier algorithms to address the problem of malicious node classification, using the SensorNetGuard dataset. The dataset, comprising 10,000 records with 21 features, was preprocessed and used to train multiple ML models, including Logistic Regression, Decision Tree, Naive Bayes, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM). Performance evaluation of these models followed the ML workflow, utilizing Python libraries such as scikit-learn, Seaborn, Matplotlib, and Pandas. The results indicated that the Naive Bayes classifier outperformed others with an accuracy of 98.1%. This paper demonstrates the effectiveness of ML classifiers in detecting malicious nodes in IoT networks, providing a robust predictive model for real-time application. The SensorNetGuard dataset is available on the IEEE data port and Kaggle platform. 2024, Prof.Dr. ?skender AKKURT. All rights reserved. Creator An entity primarily responsible for making the resource Poorana S.S.; Wilfred B.N.R.; Rajesh K.R.; Karthik S. Source A related resource from which the described resource is derived International Journal of Computational and Experimental Science and Engineering, Vol-10, No. 3, pp. 341-349. Publisher An entity responsible for making the resource available Prof.Dr. ?skender AKKURT 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/10.22399/ijcesen.395" target="_blank" rel="noreferrer noopener">https://doi.org/10.22399/ijcesen.395</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201698353&amp;doi=10.22399%2Fijcesen.395&amp;partnerID=40&amp;md5=5c1a7dfb66ae39d12ab225d6adf38ab9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201698353&amp;doi=10.22399%2fijcesen.395&amp;partnerID=40&amp;md5=5c1a7dfb66ae39d12ab225d6adf38ab9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21499144 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 Poorana S.S., Dr. N.G.P. Arts and Science College, Department of Computer Applications, Tamil Nadu, Coimbatore, 641048, India; Wilfred B.N.R., University of Tech. and Applied Sciences, College of Computing and Information Sciences, Ibri, Oman; Rajesh K.R., Christ University, Department of Computer Science, Karnataka, 560029, India; Karthik S., Kristu Jayanti College, Department of Computer Science (PG), Karnataka, 560077, India