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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms.

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第一作者： S,Jayanthi

第一单位： Department of Artificial Intelligence & Data Science, Faculty of Science and Technology (IcfaiTech), The ICFAI Foundation for Higher Education (IFHE), Hyderabad, Telangana, 501503, India.

作者： S,Jayanthi ^[1] ; Swathi Sowmya,Bavirthi ^[2] ; P,Murali ^[3] ; K Vijaya,Kumar ^[4] ; Hend Khalid,Alkahtani ^[5] ; Mohamad Khairi,Ishak ^[6] ; Samih M,Mostafa ^[7]

作者单位： Department of Artificial Intelligence & Data Science, Faculty of Science and Technology (IcfaiTech), The ICFAI Foundation for Higher Education (IFHE), Hyderabad, Telangana, 501503, India. ^[1] Department of Information Technology, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, 500075, India. ^[2] CSE Department, Aditya University, Surampalem, Andhra Pradesh, India. ^[3] Department of CSE, GITAM School of Technology, GITAM University, Visakhapatnam, India. ^[4] Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia. Hkalqahtani@pnu.edu.sa. ^[5] Department of Electrical and Computer Engineering, College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates. ^[6] Computer Science Department, Faculty of Computers and Information, South Valley University, Qena, 83523, Egypt. ^[7]

关键词 Cybersecurity DDoS Hybrid deep learning Metaheuristic optimizer algorithms Resource exhaustion attack

DOI 10.1038/s41598-025-13305-8

PMID 40830149

发布时间 2025-08-22

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