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 Deep Convolutional Neural Networks Network with Transfer Learning for Image-Based Malware Analysis Subject The topic of the resource Deep learning; Inception-V3; Malware; ResNet-50; Transfer learning; VGG-16 Description An account of the resource The complexity of classifying malware is high since it may take many forms and is constantly changing. With the help of transfer learning and easy access to massive data, neural networks may be able to easily manage this problem. This exploratory work aspires to swiftly and precisely classify malware shown as grayscale images into their various families. The VGG-16 model, which had already been trained, was used together with a learning algorithm, and the resulting accuracy was 88.40%. Additionally, the Inception-V3 algorithm for classifying malicious images into family members did significantly improve their unique approach when compared with the ResNet-50. The proposed model developed using a convolution neural network outperformed the others and correctly identified malware classification 94.7% of the time. Obtaining an F1-score of 0.93, our model outperformed the industry-standard VGG-16, ResNet-50, and Inception-V3. When VGG-16 was tuned incorrectly, however, it lost many of its parameters and performed poorly. Overall, the malware classification problem is eased by the approach of converting it to images and then classifying the generated images. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Jeyalakshmi V.S.; Krishnan N.; Jayapriya J. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-537 LNNS, pp. 39-51. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-99-3010-4_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-3010-4_4</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174717733&amp;doi=10.1007%2F978-981-99-3010-4_4&amp;partnerID=40&amp;md5=2f35f09925da2d2cad67c96b558b2012" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174717733&amp;doi=10.1007%2f978-981-99-3010-4_4&amp;partnerID=40&amp;md5=2f35f09925da2d2cad67c96b558b2012</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981993009-8 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 Jeyalakshmi V.S., Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India; Krishnan N., Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India; Jayapriya J., Department of Computer Science (YPR Campus), Christ University, Bangalore, India