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Characterizing Linux-based malware: Findings and recent trends

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2020 United Kingdom, Spain English Publisher:Elsevier BVJournal:Future Generation Computer Systems, volume 110, pages 267-281 (issn: 0167-739X, Copyright policy )
Authors: Carrillo-Mondejar, Javier; Martínez, José Luis; Suarez-Tangil, Guillermo;

doi: 10.1016/j.future.2020.04.031

handle: 10578/35082

Characterizing Linux-based malware: Findings and recent trends

Abstract

Malware targeting interconnected infrastructures has surged in recent years.

Countries
United Kingdom, Spain
Related Organizations
Keywords

IoT, Expert systems, Data analytics, Embedded systems, Machine learning, Malware forensics, 004

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 20
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
Green
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