An Effective Feature Selection Model Using Hybrid Metaheuristic Algorithms for IoT Intrusion Detection.
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| Title: | An Effective Feature Selection Model Using Hybrid Metaheuristic Algorithms for IoT Intrusion Detection. |
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| Authors: | Kareem SS; Department of Information Systems, Faculty of Computers and Information Sciences, Mansoura University, Mansoura 35516, Egypt., Mostafa RR; Department of Information Systems, Faculty of Computers and Information Sciences, Mansoura University, Mansoura 35516, Egypt., Hashim FA; Faculty of Engineering, Helwan University, Cairo 11795, Egypt., El-Bakry HM; Department of Information Systems, Faculty of Computers and Information Sciences, Mansoura University, Mansoura 35516, Egypt. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Feb 11; Vol. 22 (4). Date of Electronic Publication: 2022 Feb 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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