Using design diversity and optimal adjudication for detecting malicious web scraping and malware samples.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/phd/ethos/Marques22
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dcterms:
bibliographicCitation
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http://dblp.uni-trier.de/rec/bibtex/phd/ethos/Marques22
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dc:
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https://dblp.l3s.de/d2r/resource/authors/Pedro_Marques
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dc:
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DBLP phd/ethos/Marques22
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dcterms:
issued
2022
(xsd:gYear)
rdfs:
label
Using design diversity and optimal adjudication for detecting malicious web scraping and malware samples.
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https://dblp.l3s.de/d2r/resource/authors/Pedro_Marques
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dc:
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City University London, UK
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dc:
title
Using design diversity and optimal adjudication for detecting malicious web scraping and malware samples.
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