MalFamAware: automatic family identification and malware classification through online clustering
MalFamAware: automatic family identification and malware classification through online clustering
About this item
Full title
Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
The skyrocketing growth rate of new malware brings novel challenges to protect computers and networks. Discerning truly novel malware from variants of known samples is a way to keep pace with this trend. This can be done by grouping known malware in families by similarity and classifying new samples into those families. As malware and their familie...
Alternative Titles
Full title
MalFamAware: automatic family identification and malware classification through online clustering
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_journals_2533564966
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2533564966
Other Identifiers
ISSN
1615-5262
E-ISSN
1615-5270
DOI
10.1007/s10207-020-00509-4
