AI-enabled IoT penetration testing: state-of-the-art and research challenges.
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| Title: | AI-enabled IoT penetration testing: state-of-the-art and research challenges. |
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| Authors: | Greco, Claudia1, claudia.greco@dimes.unical.it, Fortino, Giancarlo1, Crispo, Bruno2, Choo, Kim-Kwang Raymond3 |
| Source: | Enterprise Information Systems; Sep2023, Vol. 17 Issue 9, p1-25, 25p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 168582648 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/17517575.2022.2130014 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1 Titles: – TitleFull: AI-enabled IoT penetration testing: state-of-the-art and research challenges. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Greco, Claudia – PersonEntity: Name: NameFull: Fortino, Giancarlo – PersonEntity: Name: NameFull: Crispo, Bruno – PersonEntity: Name: NameFull: Choo, Kim-Kwang Raymond IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 17517575 Numbering: – Type: volume Value: 17 – Type: issue Value: 9 Titles: – TitleFull: Enterprise Information Systems Type: main |
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