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Sine-Cosine-Adopted African Vultures Optimization with Ensemble Autoencoder-Based Intrusion Detection for Cybersecurity in CPS Environment.
Almuqren, Latifah; Al-Mutiri, Fuad; Maashi, Mashael; Mohsen, Heba; Hilal, Anwer Mustafa; Alsaid, Mohamed Ibrahim; Drar, Suhanda; Abdelbagi, Sitelbanat.
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.
  • Al-Mutiri F; Department of Mathematics, Faculty of Sciences and Arts, King Khalid University, Muhayil Asir 63311, Saudi Arabia.
  • Maashi M; Department of Software Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 103786, Riyadh 11543, Saudi Arabia.
  • Mohsen H; Department of Computer Science, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo 11835, Egypt.
  • Hilal AM; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, AlKharj 11942, Saudi Arabia.
  • Alsaid MI; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, AlKharj 11942, Saudi Arabia.
  • Drar S; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, AlKharj 11942, Saudi Arabia.
  • Abdelbagi S; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, AlKharj 11942, Saudi Arabia.
Sensors (Basel) ; 23(10)2023 May 16.
Article em En | MEDLINE | ID: mdl-37430718
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Segurança Computacional Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Segurança Computacional Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article