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"L(a)ying in (Test)Bed - How Biased Datasets Produce Impractical Results ..."

Tamy Beppler et al. (2019)

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DOI: 10.1007/978-3-030-30215-3_19

access: closed

type: Conference or Workshop Paper

metadata version: 2020-06-15

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  dblp key:
  - conf/isw/BepplerBCOG19
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  - https://dblp.org/rec/conf/isw/BepplerBCOG19
Tamy Beppler, Marcus Botacin, Fabricio Ceschin, Luiz E. S. Oliveira, André Grégio:
L(a)ying in (Test)Bed - How Biased Datasets Produce Impractical Results for Actual Malware Families' Classification. ISC 2019: 381-401

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