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 Spoofing Face Detection Using Novel Edge-Net Autoencoder for Security Subject The topic of the resource auto-encoder; digital security; edge detection; edge net; face authentication; Image processing Description An account of the resource Recent security applications in mobile technologies and computer systems use face recognition for high-end security. Despite numerous security tech-niques, face recognition is considered a high-security control. Developers fuse and carry out face identification as an access authority into these applications. Still, face identification authentication is sensitive to attacks with a 2-D photo image or captured video to access the system as an authorized user. In the existing spoofing detection algorithm, there was some loss in the recreation of images. This research proposes an unobtrusive technique to detect face spoofing attacks that apply a single frame of the sequenced set of frames to overcome the above-said problems. This research offers a novel Edge-Net autoencoder to select convoluted and dominant features of the input diffused structure. First, this pro-posedmethodistestedwiththeCross-ethnicityFaceAnti-spoofing (CASIA), Fetal alcohol spectrum disorders (FASD) dataset. This database has three models of attacks: distorted photographs in printed form, photographs with removed eyes portion, and video attacks. The images are taken with three different quality cameras: low, average, and high-quality real and spoofed images. An extensive experimental study was performed with CASIA-FASD, 3 Diagnostic Machine Aid-Digital (DMAD) dataset that proved higher results when compared to existing algorithms. 2023, Tech Science Press. All rights reserved. Creator An entity primarily responsible for making the resource Alharbi A.H.; Karthick S.; Venkatachalam K.; Abouhawwash M.; Khafaga D.S. Source A related resource from which the described resource is derived Intelligent Automation and Soft Computing, Vol-35, No. 3, pp. 2773-2787. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.32604/iasc.2023.030763" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/iasc.2023.030763</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137350144&amp;doi=10.32604%2Fiasc.2023.030763&amp;partnerID=40&amp;md5=a2d99d8905f8911367cd4774450a6eb4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137350144&amp;doi=10.32604%2fiasc.2023.030763&amp;partnerID=40&amp;md5=a2d99d8905f8911367cd4774450a6eb4</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 10798587 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 Alharbi A.H., Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia; Karthick S., Department of Electrical Electronics and Communication Engineering, GITAM School of Technology, GITAM Deemed to be University, Bengaluru Campus, Karnataka, 560065, India; Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Abouhawwash M., Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt, Department of Computational Mathematics, Science, and Engineering (CMSE), Michigan State University, East Lansing, 48824, MI, United States; Khafaga D.S., Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia