1. Repositório Aberto da Universidade do Porto
  2. FEUP - Faculdade de Engenharia
  3. FEUP - Dissertação
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/122764
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dc.creatorNuno Jorge Dias Carneiro Martins
dc.date.accessioned2025-11-11T00:34:37Z-
dc.date.available2025-11-11T00:34:37Z-
dc.date.issued2019-07-16
dc.date.submitted2019-10-10
dc.identifier.othersigarra:357986
dc.identifier.urihttps://hdl.handle.net/10216/122764-
dc.language.isoeng
dc.rightsrestrictedAccess
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleAdversarial machine learning: denial of services recognition
dc.typeDissertação
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.34626/ak5a-g228
dc.identifier.tid202396100
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.disciplineMestrado Integrado em Engenharia Informática e Computação
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
Appears in Collections:FEUP - Dissertação

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357986.1.pdf
  Restricted Access		Analyzing the Footprint of Classifiers in Adversarial Denial of Service Contexts251.84 kBAdobe PDFView/Open
357986.pdf
  Restricted Access		Adversarial Machine Learning applied to Intrusion and Malware Scenarios: a systematic review205.87 kBAdobe PDFView/Open
357986.2.pdfAdversarial machine learning on Denial of Service Recognition2.31 MBAdobe PDFThumbnail
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