Software vulnerability analysis and discovery using deep learning techniques: A survey
Version 2 2024-06-06, 00:33
Version 1 2020-11-03, 13:49
journal contribution
posted on 2024-06-06, 00:33 authored by P Zeng, G Lin, Lei Pan, Y Tai, J ZhangSoftware vulnerability analysis and discovery using deep learning techniques: A survey
History
Journal
IEEE AccessVolume
8Pagination
197158-197172Location
Piscataway, N.J.Open access
- Yes
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ISSN
2169-3536eISSN
2169-3536Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringGamesDeep learningFeature extractionSoftwareSemanticsNeural networksMarket researchvulnerability detectionNEURAL-NETWORKSRULE EXTRACTIONPREDICTIONMALWAREMETRICS4612 Software engineering
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