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 SCSLnO-SqueezeNet: Sine Cosine-Sea Lion Optimization enabled SqueezeNet for intrusion detection in IoT Subject The topic of the resource Internet of Things (IoT); intrusion detection; Sea Lion Optimization (SLnO); Sine Cosine algorithm (SCA); SqueezeNet Description An account of the resource Security and privacy are regarded as the greatest priority in any real-world smart ecosystem built on the Internet of Things (IoT) paradigm. In this study, a SqueezeNet model for IoT threat detection is built using Sine Cosine Sea Lion Optimization (SCSLnO). The Base Station (BS) carries out intrusion detection. The Hausdorff distance is used to determine which features are important. Using the SqueezeNet model, attack detection is carried out, and the network classifier is trained using SCSLnO, which is developed by combining the Sine Cosine Algorithm (SCA) with Sea Lion Optimization (SLnO). BoT-IoT and NSL-KDD datasets are used for the analysis. In comparison to existing approaches, PSO-KNN/SVM, Voting Ensemble Classifier, Deep NN, and Deep learning, the accuracy value produced by devised method for the BoT-IoT dataset is 10.75%, 8.45%, 6.36%, and 3.51% higher when the training percentage is 90. 2023 Informa UK Limited, trading as Taylor &amp; Francis Group. Creator An entity primarily responsible for making the resource Masthan M.; Pazhanikumar K.; Chavan M.; Mandala J.; Prasad Kumar S.N. Source A related resource from which the described resource is derived Network: Computation in Neural Systems, Vol-34, No. 4, pp. 343-373. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/0954898X.2023.2261531" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/0954898X.2023.2261531</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173916599&amp;doi=10.1080%2F0954898X.2023.2261531&amp;partnerID=40&amp;md5=fabbd19f15b2ab4817ba6450c21b7c98" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173916599&amp;doi=10.1080%2f0954898X.2023.2261531&amp;partnerID=40&amp;md5=fabbd19f15b2ab4817ba6450c21b7c98</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0954898X; PubMed ID: 37807939 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 Masthan M., Arffy Technologies, Karnataka, India; Pazhanikumar K., Dept of Computer Science, S.T.Hindu College, Nagercoil, India; Chavan M., Department of Electronics&amp; Communication, Bharati Vidyapeeth(Deemed to be University) College of Engineering, Pune, India; Mandala J., Department of Computer Science and Engineering, Christ (Deemed to be) University, Bangalore, India; Prasad Kumar S.N., Data Scientist, San Francisco, CA, United States