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 Enhancing Network Security with Comparative Study of Machine Learning Algorithms for Intrusion Detection Subject The topic of the resource Intrusion detection; K-nearest neighbors (KNN); Logistic regression (LR); Machine learning (ML); Random forest (RF) Description An account of the resource With the ever-increasing network systems and dependency on digital technologies, ensuring the security and integrity of these systems is of paramount importance. Intrusion detection systems (IDS) play a major role in sheltering such systems. Intrusion detection systems are technologies that are designed to monitor network and system activities and detect suspicious, unauthorized, malicious behavior. This research paper conducts a comprehensive comparative analysis of three popular machine learning algorithmsK-Nearest Neighbors (KNN), Random Forest (RF), and Logistic Regression (LR)in the context of intrusion detection using the renowned NSL-KDD dataset. Preprocessing techniques are applied, and the dataset is split for rigorous evaluation. The findings of this research highlight the effectiveness of Random Forest in detecting intrusions, showcasing its potential for real-world network security applications. This study contributes to the field of intrusion detection and offers valuable insights for network administrators and cybersecurity professionals to enhance network protection. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Thachil M.; Siby A.; Kumar K.P.; Chowdary C.R.; Karthikeyan H. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 345-354. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-97-0975-5_31" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_31</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197295025&amp;doi=10.1007%2F978-981-97-0975-5_31&amp;partnerID=40&amp;md5=dc18ab91e4b4da17d9b6d5470551a212" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197295025&amp;doi=10.1007%2f978-981-97-0975-5_31&amp;partnerID=40&amp;md5=dc18ab91e4b4da17d9b6d5470551a212</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981970974-8 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 Thachil M., Computer Science &amp; Engineering, CHRIST University, Bangalore, India; Siby A., Computer Science &amp; Engineering, CHRIST University, Bangalore, India; Kumar K.P., Computer Science &amp; Engineering, CHRIST University, Bangalore, India; Chowdary C.R., Computer Science &amp; Engineering, CHRIST University, Bangalore, India; Karthikeyan H., Computer Science &amp; Engineering, CHRIST University, Bangalore, India