Football cybersecurity threat severity prediction using multi-head transformer-based deep learning models.

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Bibliographic Details
Title: Football cybersecurity threat severity prediction using multi-head transformer-based deep learning models.
Authors: Hassan BM; Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt. basma.mohamed@ai.kfs.edu.eg., Algarni F; College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia., Alshamrani R; Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia., Althbiti A; Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia., Albalawi A; Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia., Ismail A; Physics Department, Al Azhar University, Asyut, 71524, Egypt.
Source: Scientific reports [Sci Rep] 2026 Apr 11; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 11.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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