Matches in SemOpenAlex for { <https://semopenalex.org/work/W2780450026> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2780450026 abstract "In the field of malware analysis, two basic types, which are static analysis and dynamic analysis, are involved in the process of understanding on how particular malware functions. By using dynamic analysis, malware researchers could collect API call sequences that are very valuable sources of information for identifying malware behavior. The proposed malware classification procedures introduced in this paper use API call sequences as inputs to classifiers. In addition, taking advantage of the development in Natural Language Processing field, we use some methods such as n-gram, doc2vec (or Paragraph vectors), TF-IDF to convert those API sequences to numeric vectors before feeding to the classifiers. Our proposed approaches are divided into 3 different methods to classify malware, that is TF-IDF, Paragraph Vector with Distributed Bag of Words and Paragraph Vector with Distributed Memory. Each of them provides us a very good accuracy." @default.
- W2780450026 created "2018-01-05" @default.
- W2780450026 creator A5049917170 @default.
- W2780450026 creator A5062632199 @default.
- W2780450026 date "2017-11-01" @default.
- W2780450026 modified "2023-09-26" @default.
- W2780450026 title "NLP-based approaches for malware classification from API sequences" @default.
- W2780450026 cites W1549885708 @default.
- W2780450026 cites W1573526548 @default.
- W2780450026 cites W1885172175 @default.
- W2780450026 cites W2008462406 @default.
- W2780450026 cites W2045140281 @default.
- W2780450026 cites W2135814109 @default.
- W2780450026 cites W2586608967 @default.
- W2780450026 doi "https://doi.org/10.1109/iesys.2017.8233569" @default.
- W2780450026 hasPublicationYear "2017" @default.
- W2780450026 type Work @default.
- W2780450026 sameAs 2780450026 @default.
- W2780450026 citedByCount "28" @default.
- W2780450026 countsByYear W27804500262018 @default.
- W2780450026 countsByYear W27804500262019 @default.
- W2780450026 countsByYear W27804500262020 @default.
- W2780450026 countsByYear W27804500262021 @default.
- W2780450026 countsByYear W27804500262022 @default.
- W2780450026 countsByYear W27804500262023 @default.
- W2780450026 crossrefType "proceedings-article" @default.
- W2780450026 hasAuthorship W2780450026A5049917170 @default.
- W2780450026 hasAuthorship W2780450026A5062632199 @default.
- W2780450026 hasConcept C119857082 @default.
- W2780450026 hasConcept C12267149 @default.
- W2780450026 hasConcept C124101348 @default.
- W2780450026 hasConcept C136764020 @default.
- W2780450026 hasConcept C152565575 @default.
- W2780450026 hasConcept C154945302 @default.
- W2780450026 hasConcept C199360897 @default.
- W2780450026 hasConcept C202444582 @default.
- W2780450026 hasConcept C204321447 @default.
- W2780450026 hasConcept C2777206241 @default.
- W2780450026 hasConcept C2779395397 @default.
- W2780450026 hasConcept C33923547 @default.
- W2780450026 hasConcept C38652104 @default.
- W2780450026 hasConcept C41008148 @default.
- W2780450026 hasConcept C541664917 @default.
- W2780450026 hasConcept C9652623 @default.
- W2780450026 hasConcept C98045186 @default.
- W2780450026 hasConceptScore W2780450026C119857082 @default.
- W2780450026 hasConceptScore W2780450026C12267149 @default.
- W2780450026 hasConceptScore W2780450026C124101348 @default.
- W2780450026 hasConceptScore W2780450026C136764020 @default.
- W2780450026 hasConceptScore W2780450026C152565575 @default.
- W2780450026 hasConceptScore W2780450026C154945302 @default.
- W2780450026 hasConceptScore W2780450026C199360897 @default.
- W2780450026 hasConceptScore W2780450026C202444582 @default.
- W2780450026 hasConceptScore W2780450026C204321447 @default.
- W2780450026 hasConceptScore W2780450026C2777206241 @default.
- W2780450026 hasConceptScore W2780450026C2779395397 @default.
- W2780450026 hasConceptScore W2780450026C33923547 @default.
- W2780450026 hasConceptScore W2780450026C38652104 @default.
- W2780450026 hasConceptScore W2780450026C41008148 @default.
- W2780450026 hasConceptScore W2780450026C541664917 @default.
- W2780450026 hasConceptScore W2780450026C9652623 @default.
- W2780450026 hasConceptScore W2780450026C98045186 @default.
- W2780450026 hasLocation W27804500261 @default.
- W2780450026 hasOpenAccess W2780450026 @default.
- W2780450026 hasPrimaryLocation W27804500261 @default.
- W2780450026 hasRelatedWork W1996541855 @default.
- W2780450026 hasRelatedWork W2312231142 @default.
- W2780450026 hasRelatedWork W2811511039 @default.
- W2780450026 hasRelatedWork W2947903144 @default.
- W2780450026 hasRelatedWork W2968586400 @default.
- W2780450026 hasRelatedWork W3195168932 @default.
- W2780450026 hasRelatedWork W4081608 @default.
- W2780450026 hasRelatedWork W4313558727 @default.
- W2780450026 hasRelatedWork W4324140932 @default.
- W2780450026 hasRelatedWork W4379875306 @default.
- W2780450026 isParatext "false" @default.
- W2780450026 isRetracted "false" @default.
- W2780450026 magId "2780450026" @default.
- W2780450026 workType "article" @default.