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Multi-Objective Seagull Optimization Algorithm with Deep Learning-Enabled Vulnerability Detection for Secure Cloud Environments.

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第一作者： Mohammed,Aljebreen

第一单位： Department of Computer Science, Community College, King Saud University, P.O. Box 28095, Riyadh 11437, Saudi Arabia.

作者： Mohammed,Aljebreen ^[1] ; Manal Abdullah,Alohali ^[2] ; Hany,Mahgoub ^[3] ; Sumayh S,Aljameel ^[4] ; Albandari,Alsumayt ^[5] ; Ahmed,Sayed ^[6]

作者单位： Department of Computer Science, Community College, King Saud University, P.O. Box 28095, Riyadh 11437, Saudi Arabia. ^[1] Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia. ^[2] Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha 61413, Saudi Arabia. ^[3] SAUDI ARAMCO Cybersecurity Chair, Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia. ^[4] Department of Computer Science, Applied College, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia. ^[5] Research Center, Future University in Egypt, New Cairo 11835, Egypt. ^[6]

关键词 cloud computing deep learning intrusion detection system seagull optimization algorithm sooty tern optimization algorithm

DOI 10.3390/s23239383

PMID 38067756

发布时间 2023-12-09

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