Static malware clustering using enhanced deep embedding method

Ng, Chee Keong, Jiang, Frank, Zhang, Leo Yu and Zhou, Wanlei 2019, Static malware clustering using enhanced deep embedding method, Concurrency and computation: practice & experience, vol. 31, no. 19, 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. 1-16, doi: 10.1002/cpe.5234.

Attached Files
Name Description MIMEType Size Downloads

Title Static malware clustering using enhanced deep embedding method
Author(s) Ng, Chee Keong
Jiang, FrankORCID iD for Jiang, Frank orcid.org/0000-0003-3088-8525
Zhang, Leo YuORCID iD for Zhang, Leo Yu orcid.org/0000-0001-9330-2662
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Journal name Concurrency and computation: practice & experience
Volume number 31
Issue number 19
Season 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 e5234
Start page 1
End page 16
Total pages 16
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2019-10
ISSN 1532-0626
Keyword(s) deep learning
malware clustering
machine learning
Language eng
DOI 10.1002/cpe.5234
Indigenous content off
Field of Research 0805 Distributed Computing
0803 Computer Software
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, John Wiley & Sons
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121172

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 241 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Tue, 30 Apr 2019, 15:58:11 EST

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.