Real-Time Phishing Campaign Detection for Healthcare Organizations: An Explainable AI Approach Using Semantic Clustering.
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| Title: | Real-Time Phishing Campaign Detection for Healthcare Organizations: An Explainable AI Approach Using Semantic Clustering. |
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| Authors: | Feretzakis G; School of Science and Technology, Hellenic Open University, Patras, Greece., Karapiperis D; School of Science and Technology, Hellenic Open University, Patras, Greece., Mitropoulos S; School of Science and Technology, Hellenic Open University, Patras, Greece. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2026 Jun 29; Vol. 338, pp. 303-307. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Real-Time Phishing Campaign Detection for Healthcare Organizations: An Explainable AI Approach Using Semantic Clustering. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Feretzakis+G%22">Feretzakis G</searchLink>; School of Science and Technology, Hellenic Open University, Patras, Greece.<br /><searchLink fieldCode="AU" term="%22Karapiperis+D%22">Karapiperis D</searchLink>; School of Science and Technology, Hellenic Open University, Patras, Greece.<br /><searchLink fieldCode="AU" term="%22Mitropoulos+S%22">Mitropoulos S</searchLink>; School of Science and Technology, Hellenic Open University, Patras, Greece. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2026 Jun 29; Vol. 338, pp. 303-307. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42394014 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/SHTI260852 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 303 Titles: – TitleFull: Real-Time Phishing Campaign Detection for Healthcare Organizations: An Explainable AI Approach Using Semantic Clustering. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Feretzakis G – PersonEntity: Name: NameFull: Karapiperis D – PersonEntity: Name: NameFull: Mitropoulos S IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 06 Text: 2026 Jun 29 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-8365 Numbering: – Type: volume Value: 338 Titles: – TitleFull: Studies in health technology and informatics Type: main |
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