Multiple Instance Learning for Malware Classification. - Citegraph

Paper Info

Title
Multiple Instance Learning for Malware Classification.

Abstract
•System resources can be used for modeling malware’s behavior.•Novel similarity measure for file paths reflecting directory structure is defined.•The variability in the number of system resources can be addressed with MIL.

Year	DOI	Venue
2018	10.1016/j.eswa.2017.10.036	Expert Systems with Applications
Keywords	DocType	Volume
Malware,Dynamic analysis,Sandboxing,Multiple instance learning,Classification,Random forest	Journal	93
Issue	ISSN	Citations
C	0957-4174	4
PageRank	References	Authors
0.46	45	3

Authors (3 rows)

Cited by (4 rows)

References (45 rows)

Name	Order	Citations	PageRank
Jan Stiborek	1	114	8.57
Tomáš Pevný	2	1043	45.20
Martin Rehak	3	251	28.57

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