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Editorial: recent advances in machine learning for cybersecurity

Pan, Lei, Zhang, Jun and Oliver, Jonathan 2019, Editorial: recent advances in machine learning for cybersecurity, Concurrency and computation: practice & experience, vol. 31, no. 19, Volume31, Issue19 Special Issue: Special Issue on Algorithmic Advances in Parallel Architectures and Energy Efficient Computing (PPAM2017) and Recent Advances in Machine Learning for Cyber‐security (MLCSec2018), pp. 1-3, doi: 10.1002/cpe.5270.

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Title Editorial: recent advances in machine learning for cybersecurity
Author(s) Pan, LeiORCID iD for Pan, Lei orcid.org/0000-0002-4691-8330
Zhang, Jun
Oliver, Jonathan
Journal name Concurrency and computation: practice & experience
Volume number 31
Issue number 19
Season Volume31, Issue19 Special Issue: Special Issue on Algorithmic Advances in Parallel Architectures and Energy Efficient Computing (PPAM2017) and Recent Advances in Machine Learning for Cyber‐security (MLCSec2018)
Article ID e5270
Start page 1
End page 3
Total pages 3
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2019-10
ISSN 1532-0626
1532-0634
Language eng
DOI 10.1002/cpe.5270
Indigenous content off
Field of Research 080109 Pattern Recognition and Data Mining
0805 Distributed Computing
0803 Computer Software
HERDC Research category C4 Letter or note
Copyright notice ©2019, John Wiley & Sons
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30120759

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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.