Distributed Denial of Service Attack Detection Based on Cuckoo Search Bidirectional Learning Method.
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| Title: | Distributed Denial of Service Attack Detection Based on Cuckoo Search Bidirectional Learning Method. |
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| Authors: | Hongxiang Ke1, Huoyou Li2, lhy@lyun.edu.cn, Cheng-Fu Yang3,4, cfyang@nuk.edu.tw |
| Source: | Sensors & Materials; 2025, Vol. 37 Issue 5, Part 3, p2091-2104, 14p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 185931057 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Distributed Denial of Service Attack Detection Based on Cuckoo Search Bidirectional Learning Method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hongxiang+Ke%22">Hongxiang Ke</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Huoyou+Li%22">Huoyou Li</searchLink><relatesTo>2</relatesTo>, <i>lhy@lyun.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Cheng-Fu+Yang%22">Cheng-Fu Yang</searchLink><relatesTo>3,4</relatesTo>, <i>cfyang@nuk.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sensors+%26+Materials%22">Sensors & Materials</searchLink>; 2025, Vol. 37 Issue 5, Part 3, p2091-2104, 14p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185931057 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18494/SAM5567 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2091 Titles: – TitleFull: Distributed Denial of Service Attack Detection Based on Cuckoo Search Bidirectional Learning Method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hongxiang Ke – PersonEntity: Name: NameFull: Huoyou Li – PersonEntity: Name: NameFull: Cheng-Fu Yang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09144935 Numbering: – Type: volume Value: 37 – Type: issue Value: 5, Part 3 Titles: – TitleFull: Sensors & Materials Type: main |
| ResultId | 1 |