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Software Vulnerability Analysis and Discovery using Deep Learning Techniques: A Survey

Zeng, Peng, Lin, Guanjun, Pan, Lei, Tai, Yonghang and Zhang, Jun 2020, Software Vulnerability Analysis and Discovery using Deep Learning Techniques: A Survey, IEEE Access, vol. 8, pp. 197158-197172, doi: 10.1109/access.2020.3034766.

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Title Software Vulnerability Analysis and Discovery using Deep Learning Techniques: A Survey
Author(s) Zeng, Peng
Lin, Guanjun
Pan, LeiORCID iD for Pan, Lei orcid.org/0000-0002-4691-8330
Tai, Yonghang
Zhang, Jun
Journal name IEEE Access
Volume number 8
Start page 197158
End page 197172
Total pages 15
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2169-3536
Keyword(s) Deep learning
vulnerability detection
Language eng
DOI 10.1109/access.2020.3034766
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30144859

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.