Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment.

Alohali, Manal Abdullah; Al-Wesabi, Fahd N; Hilal, Anwer Mustafa; Goel, Shalini; Gupta, Deepak; Khanna, Ashish

Alohali, Manal Abdullah; Al-Wesabi, Fahd N; Hilal, Anwer Mustafa; Goel, Shalini; Gupta, Deepak; Khanna, Ashish.

Afiliação

Alohali MA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671 Saudi Arabia.
Al-Wesabi FN; Department of Computer Science, King Khalid University, Muhayel Aseer, Saudi Arabia.
Hilal AM; Faculty of Computer and IT, Sanaa University, Sanaa, Yemen.
Goel S; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia.
Gupta D; Department of Computer Science and Engineering, HMR Institute of Technology and Management, Delhi, India.
Khanna A; Department of Computer Science and Engineering, Maharaja Agarsen Institute of Technology, New Delhi, India.

Cogn Neurodyn ; 16(5): 1045-1057, 2022 Oct.

Article em En | MEDLINE | ID: mdl-36237400

Palavras-chave

Artificial intelligence; Cognitive computing; Industry 4.0. cognitive cyber physical system; Intrusion detection system; Security

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Cogn Neurodyn Ano de publicação: 2022 Tipo de documento: Article

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