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 Book Chapter Faculty Publications- Book Chapter 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 Mishra, Achyutananda Title A name given to the resource Intrusion Detection Through Deep Learning: Emerging Trends and Challenges Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Deep Learning for Intrusion Detection: Techniques and Applications;pp.107-123 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394285198.ch5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394285198.ch5</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030404243?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030404243?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 Mishra A., School of Law, Christ University, Karnataka, Bangalore, India Description An account of the resource The chapter begins with an introduction that sets the stage for a comprehensive journey into the world of deep learning. The chapter then delves into the critical components of deep learning, including neural network architectures, convolutional neural networks (CNNs), recurrent and recursive networks, and the application of deep learning. Moreover, it explains intrusion detection, its classification, and its methodology. By the end of the chapter, readers will have gained a solid understanding of the fundamental principles and tools necessary to delve deeper into the application of deep learning in intrusion detection, and challenges inherent in it. 2026 John Wiley &amp; Sons, Inc. Published 2026 by John Wiley &amp; Sons, Inc. Subject The topic of the resource deep learning; intrusion detection; machine learning; neural network Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139428519-8; 978-139428516-7; Language A language of the resource English Type The nature or genre of the resource Book chapter 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