EFFICIENT DEEP FEATURES LEARNING FOR VULNERABILITY DETECTION USING CHARACTER N- GRAM EMBEDDING

EFFICIENT DEEP FEATURES LEARNING FOR VULNERABILITY DETECTION USING CHARACTER N- GRAM EMBEDDING

Deep Learning (DL) techniques were successfully applied to solve challenging problems in the field of Natural Language Processing (NLP). Since source code and natural text share several similarities, it was possible to adopt text classification techniques, such as word embedding, to propose DL-based...

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Bibliographic Details
Main Authors: Mamdouh Alenezi, Mohammed Zagane, Yasir Javed
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2021-03-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
software security
vulnerability detection
deep features learning
character n-gram embedding
Online Access:https://jjcit.org/downloadfile/120

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