A White Shark Equilibrium Optimizer with a Hybrid Deep-Learning-Based Cybersecurity Solution for a Smart City Environment.

Almuqren, Latifah; Aljameel, Sumayh S; Alqahtani, Hamed; Alotaibi, Saud S; Hamza, Manar Ahmed; Salama, Ahmed S

Almuqren, Latifah; Aljameel, Sumayh S; Alqahtani, Hamed; Alotaibi, Saud S; Hamza, Manar Ahmed; Salama, Ahmed S.

Afiliação

Almuqren L; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Aljameel SS; SAUDI ARAMCO Cybersecurity Chair, Computer Science Department, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
Alqahtani H; Department of Information Systems, College of Computer Science, Unit of Cybersecurity, King Khalid University, Abha 61421, Saudi Arabia.
Alotaibi SS; Department of Information Systems, College of Computing and Information System, Umm Al-Qura University, Mecca 24382, Saudi Arabia.
Hamza MA; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia.
Salama AS; Department of Electrical Engineering, Faculty of Engineering & Technology, Future University in Egypt, New Cairo 11845, Egypt.

Sensors (Basel) ; 23(17)2023 Aug 24.

Article em En | MEDLINE | ID: mdl-37687826

Palavras-chave

DDoS attacks; cybersecurity; deep autoencoder; feature selection; smart cities; smart grids

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Arábia Saudita

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