Matches in SemOpenAlex for { <https://semopenalex.org/work/W2921161567> ?p ?o ?g. }
Showing items 1 to 52 of
52
with 100 items per page.
- W2921161567 abstract "In this paper, we argue that detecting malware attacks in the wild is a unique challenge for machine learning techniques. Given the current trend in malware development and the increase of unconventional malware attacks, we expect that dynamic malware analysis is the future for antimalware detection and prevention systems. A comprehensive review of machine learning for malware detection is presented. Then, we discuss how malware detection in the wild present unique challenges for the current state-of-the-art machine learning techniques. We defined three critical problems that limit the success of malware detectors powered by machine learning in the wild. Next, we discuss possible solutions to these challenges and present the requirements of next-generation malware detection. Finally, we outline potential research directions in machine learning for malware detection." @default.
- W2921161567 created "2019-03-22" @default.
- W2921161567 creator A5059820577 @default.
- W2921161567 creator A5061774356 @default.
- W2921161567 creator A5065317596 @default.
- W2921161567 date "2019-01-01" @default.
- W2921161567 modified "2023-09-29" @default.
- W2921161567 title "The Curious Case of Machine Learning in Malware Detection" @default.
- W2921161567 doi "https://doi.org/10.5220/0007470705280535" @default.
- W2921161567 hasPublicationYear "2019" @default.
- W2921161567 type Work @default.
- W2921161567 sameAs 2921161567 @default.
- W2921161567 citedByCount "14" @default.
- W2921161567 countsByYear W29211615672020 @default.
- W2921161567 countsByYear W29211615672021 @default.
- W2921161567 countsByYear W29211615672022 @default.
- W2921161567 countsByYear W29211615672023 @default.
- W2921161567 crossrefType "proceedings-article" @default.
- W2921161567 hasAuthorship W2921161567A5059820577 @default.
- W2921161567 hasAuthorship W2921161567A5061774356 @default.
- W2921161567 hasAuthorship W2921161567A5065317596 @default.
- W2921161567 hasBestOaLocation W29211615671 @default.
- W2921161567 hasConcept C119857082 @default.
- W2921161567 hasConcept C154945302 @default.
- W2921161567 hasConcept C204321447 @default.
- W2921161567 hasConcept C38652104 @default.
- W2921161567 hasConcept C41008148 @default.
- W2921161567 hasConcept C541664917 @default.
- W2921161567 hasConceptScore W2921161567C119857082 @default.
- W2921161567 hasConceptScore W2921161567C154945302 @default.
- W2921161567 hasConceptScore W2921161567C204321447 @default.
- W2921161567 hasConceptScore W2921161567C38652104 @default.
- W2921161567 hasConceptScore W2921161567C41008148 @default.
- W2921161567 hasConceptScore W2921161567C541664917 @default.
- W2921161567 hasLocation W29211615671 @default.
- W2921161567 hasLocation W29211615672 @default.
- W2921161567 hasOpenAccess W2921161567 @default.
- W2921161567 hasPrimaryLocation W29211615671 @default.
- W2921161567 hasRelatedWork W1827256152 @default.
- W2921161567 hasRelatedWork W1936417930 @default.
- W2921161567 hasRelatedWork W2259219744 @default.
- W2921161567 hasRelatedWork W2942650110 @default.
- W2921161567 hasRelatedWork W2961085424 @default.
- W2921161567 hasRelatedWork W2968586400 @default.
- W2921161567 hasRelatedWork W3016595359 @default.
- W2921161567 hasRelatedWork W4236652279 @default.
- W2921161567 hasRelatedWork W4312611617 @default.
- W2921161567 hasRelatedWork W4316087074 @default.
- W2921161567 isParatext "false" @default.
- W2921161567 isRetracted "false" @default.
- W2921161567 magId "2921161567" @default.
- W2921161567 workType "article" @default.