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 Cloud Intrusion Detection Using Hybrid Convolutional Neural Networks Subject The topic of the resource Cloud Security; CNN; DDoS; Intrusion Detection; k-NN Cloud-Based Intrusion Detection; Spam Description An account of the resource Instead of storing data on a hard drive, cloud computing is seen as the best option. The Internet is used to deliver three different kinds of computing services to users all over the world. One advantage that cloud computing provides to its customers is greater access to resources and higher performance while at the same time increasing the risk of an attack. Intrusion detection systems that can handle a large volume of data packets, analyse them, and generate reports based on knowledge and behaviour analysis were developed as part of this research. As an added layer of protection, the Convolution Neural Network Algorithm is used to encrypt data during end-to-end transmission and to store it in the cloud. Intrusion detection increases the safety of data in the cloud. In this paper demonstrates the data is encrypted and decrypted using a model of an algorithm and explains how it is protected from attackers. It's important to take into account the amount of time and memory required to encrypt and decrypt large text files when evaluating the proposed system's performance. The security of the cloud has also been examined and compared to other existing encoding methods. 2024, Iquz Galaxy Publisher. All rights reserved. Creator An entity primarily responsible for making the resource Mahalakshmi S.B.; Karnan L.; Nayana K.V.; Thirunavukkarasu V. Source A related resource from which the described resource is derived International Research Journal of Multidisciplinary Scope, Vol-5, No. 2, pp. 723-731. Publisher An entity responsible for making the resource available Iquz Galaxy Publisher 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/10.47857/irjms.2024.v05i02.0629" target="_blank" rel="noreferrer noopener">https://doi.org/10.47857/irjms.2024.v05i02.0629</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193406343&amp;doi=10.47857%2Firjms.2024.v05i02.0629&amp;partnerID=40&amp;md5=ec435754dcf2bbd11093ad25bcb4a08d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193406343&amp;doi=10.47857%2firjms.2024.v05i02.0629&amp;partnerID=40&amp;md5=ec435754dcf2bbd11093ad25bcb4a08d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2582631X 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 Mahalakshmi S.B., Department of Artificial Intelligence &amp; Machine Learning, Coimbatore Institute of Technology, Tamil Nadu, Coimbatore, India; Karnan L., Department of Computer Science, Christ University, Karnataka, Bangalore, India; Nayana K.V., Department of Computer Science, St Francis de Sales College, Karnataka, Bangalore, India; Thirunavukkarasu V., Department of Computer Science, Christ University, Karnataka, Bangalore, India