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 Analysing the Influence of Activation Functions in CNN models for Effective Malware Classification Subject The topic of the resource activation function; cnn; deep learning; malware classification Description An account of the resource With the advancement of information technology, malware has become a persistent cyber security concern that targets computer systems, smart devices, and wide networks. Due to flaws in performance accuracy, analysis type, and malware classification methodologies that miss unsuspected malware attacks, malware classification has thus always been a significant concern and a challenging subject. Using the Malimg dataset, which has 9349 samples from 25 different families, this study classifies malware using a deep learning algorithm called a convolution neural network and evaluating the accuracy using a number of activation functions in this study. The proposed CNN model for malware classification achieves a high accuracy rate without the need for complex feature engineering. The model achieved the highest accuracy of 96.93% when using the Rectified Linear Unit (ReLU) activation functions whereas Leaky Relu gives accuracy of 96.76%, Pre relu gives 96.36%, ELU gives 95.72% and tanh gives accuracy of 95.58%. 2024 IEEE. Creator An entity primarily responsible for making the resource Kasliwal S.; Vinay M.; Jayapriya J.; Deepa S.; Mahalakshmi J. Source A related resource from which the described resource is derived 2nd IEEE International Conference on Data Science and Network Security, ICDSNS 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. 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/10.1109/ICDSNS62112.2024.10691109" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDSNS62112.2024.10691109</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206574903&amp;doi=10.1109%2FICDSNS62112.2024.10691109&amp;partnerID=40&amp;md5=0ceda2fbb8ecd648122c10a0bc505fa0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206574903&amp;doi=10.1109%2fICDSNS62112.2024.10691109&amp;partnerID=40&amp;md5=0ceda2fbb8ecd648122c10a0bc505fa0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037311-0 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 Kasliwal S., Christ Univesity, Department of Computer Science, Bangalore, India; Vinay M., Christ Univesity, Department of Computer Science, Bangalore, India; Jayapriya J., Christ Univesity, Department of Computer Science, Bangalore, India; Deepa S., Christ Univesity, Department of Computer Science, Bangalore, India; Mahalakshmi J., Christ Univesity, Department of Computer Science, Bangalore, India