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Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment.

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第一作者： Sarah A,Alzakari

第一单位： Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.

作者： Sarah A,Alzakari ^[1] ; Mohammad,Alamgeer ^[2] ; Abdullah M,Alashjaee ^[3] ; Monir,Abdullah ^[4] ; Khalid Nazim,Abdul Sattar ^[5] ; Asma,Alshuhail ^[6] ; Ahmad A,Alzahrani ^[7] ; Abdulwhab,Alkharashi ^[8]

作者单位： Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. ^[1] Department of Information Systems, Applied College at Mahayil, King Khalid University, Abha, Saudi Arabia. ^[2] Department of Computer Science, College of Science, Northern Border University, Arar, Saudi Arabia. abdullah.alashjaee@nbu.edu.sa. ^[3] Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, 67714, Saudi Arabia. ^[4] Department of Computer Science and Information, College of Science, Majmaah University, Majmaah, 11952, Saudi Arabia. ^[5] Department of Information Systems, College of Computer Sciences & Information Technology, King Faisal University, Al Hofuf, Saudi Arabia. ^[6] Department of Computer Science and Artificial Intelligence, College of Computing, Umm Al-Qura University, Mecca, Saudi Arabia. ^[7] Department of Computer Science, College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia. ^[8]

关键词 Denial of Wallet Feature selection Improved Secretary Bird Optimization Multi-head attention Recurrent neural network Serverless Computing Environment

医学主题词计算机安全(Computer Security);算法(Algorithms)

DOI 10.1038/s41598-025-87636-x

PMID 40253394

发布时间 2025-04-22

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