A bio-inspired and AI-driven approach to DDoS detection.
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| Title: | A bio-inspired and AI-driven approach to DDoS detection. |
|---|---|
| Authors: | Chandrasekar, Abinaya Devi1, Sundaram, Parvathy Meenakshi2, Prabakaran, Manoj Kumar3 |
| Source: | Computer Journal; Apr2026, Vol. 69 Issue 4, p736-754, 19p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193140940 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193140940 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/comjnl/bxaf142 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 736 Titles: – TitleFull: A bio-inspired and AI-driven approach to DDoS detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chandrasekar, Abinaya Devi – PersonEntity: Name: NameFull: Sundaram, Parvathy Meenakshi – PersonEntity: Name: NameFull: Prabakaran, Manoj Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00104620 Numbering: – Type: volume Value: 69 – Type: issue Value: 4 Titles: – TitleFull: Computer Journal Type: main |
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