Anomaly‐Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms.
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| Title: | Anomaly‐Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms. |
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| Authors: | Al-Fuhaidi, Belal1, belalarh@gmail.com, Farae, Zainab1, Al-Fahaidy, Farouk1,2, Nagi, Gawed1, Ghallab, Abdullatif1, Alameri, Abdu3, Bardhan, Abidhan |
| Source: | Applied Computational Intelligence & Soft Computing; 9/17/2024, Vol. 2024, p1-19, 19p |
| Database: | Applied Science & Technology Source |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 179684826 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2024/2625922 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1 Titles: – TitleFull: Anomaly‐Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Al-Fuhaidi, Belal – PersonEntity: Name: NameFull: Farae, Zainab – PersonEntity: Name: NameFull: Al-Fahaidy, Farouk – PersonEntity: Name: NameFull: Nagi, Gawed – PersonEntity: Name: NameFull: Ghallab, Abdullatif – PersonEntity: Name: NameFull: Alameri, Abdu – PersonEntity: Name: NameFull: Bardhan, Abidhan IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 09 Text: 9/17/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 16879724 Numbering: – Type: volume Value: 2024 Titles: – TitleFull: Applied Computational Intelligence & Soft Computing Type: main |
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