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 Improved dragonfly optimizer for intrusion detection using deep clustering CNN-PSO classifier Subject The topic of the resource Binning normalization; Convolutional neural network; Deep clustering; Dragonfly optimizer; Information gain; Intrusion detection system Description An account of the resource With the rapid growth of internet based services and the data generated on these services are attracted by the attackers to intrude the networking services and information. Based on the characteristics of these intruders, many researchers attempted to aim to detect the intrusion with the help of automating process. Since, the large volume of data is generated and transferred through network, the security and performance are remained an issue. IDS (Intrusion Detection System) was developed to detect and prevent the intruders and secure the network systems. The performance and loss are still an issue because of the features space grows while detecting the intruders. In this paper, deep clustering based CNN have been used to detect the intruders with the help of Meta heuristic algorithms for feature selection and preprocessing. The proposed system includes three phases such as preprocessing, feature selection and classification. In the first phase, KDD dataset is preprocessed by using Binning normalization and Eigen-PCA based discretization method. In second phase, feature selection is performed by using Information Gain based Dragonfly Optimizer (IGDFO). Finally, Deep clustering based Convolutional Neural Network (CCNN) classifier optimized with Particle Swarm Optimization (PSO) identifies intrusion attacks efficiently. The clustering loss and network loss can be reduced with the optimization algorithm. We evaluate the proposed IDS model with the NSL-KDD dataset in terms of evaluation metrics. The experimental results show that proposed system achieves better performance compared with the existing system in terms of accuracy, precision, recall, f-measure and false detection rate. 2022 Tech Science Press. All rights reserved. Creator An entity primarily responsible for making the resource Bhuvaneshwari K.S.; Venkatachalam K.; HubovskS.; TrojovskP.; Prabu P. Source A related resource from which the described resource is derived Computers, Materials and Continua, Vol-70, No. 3, pp. 5949-5965. Publisher An entity responsible for making the resource available Tech Science Press 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/10.32604/cmc.2022.020769" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.020769</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116961790&amp;doi=10.32604%2Fcmc.2022.020769&amp;partnerID=40&amp;md5=4d98f0abf4c09995af53fc9293f2ae63" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116961790&amp;doi=10.32604%2fcmc.2022.020769&amp;partnerID=40&amp;md5=4d98f0abf4c09995af53fc9293f2ae63</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 15462218 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 Bhuvaneshwari K.S., Department of Computer Sceince and Engineering, Karpagam College of Engineering, Coimbatore, 641032, India; Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; HubovskS., Department of Applied Cybernetics, Faculty of Science, University of Hradec Krov Hradec Krov 50003, Czech Republic; TrojovskP., Department of Mathematics, Faculty of Science, University of Hradec Krov Hradec Krov 50003, Czech Republic; Prabu P., Department of Computer Sceince, CHRIST(Deemed to be University), Bangalore, 560074, India