Academic Journal
Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review.
| Title: | Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review. |
|---|---|
| Authors: | Halvorsen, James, Izurieta, Clemente, Cai, Haipeng, Gebremedhin, Assefaw |
| Source: | ACM Computing Surveys; Oct2024, Vol. 56 Issue 10, p1-33, 33p |
| Subject Terms: | Artificial neural networks, Machine learning, Pattern recognition systems, Information technology, Artificial intelligence, Intrusion detection systems (Computer security) |
| Database: | Complementary Index |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3659575 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 1 Subjects: – SubjectFull: Artificial neural networks Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Pattern recognition systems Type: general – SubjectFull: Information technology Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Intrusion detection systems (Computer security) Type: general Titles: – TitleFull: Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Halvorsen, James – PersonEntity: Name: NameFull: Izurieta, Clemente – PersonEntity: Name: NameFull: Cai, Haipeng – PersonEntity: Name: NameFull: Gebremedhin, Assefaw IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 03600300 Numbering: – Type: volume Value: 56 – Type: issue Value: 10 Titles: – TitleFull: ACM Computing Surveys Type: main |
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