A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Cl...
A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling
About this item
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Author / Creator
Publisher
New York: Hindawi
Journal title
Language
English
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Publication information
Publisher
New York: Hindawi
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Scope and Contents
Contents
With the extensive use of Android applications, malware growth has been increasing drastically. The high popularity of Android devices has motivated malware developers to attack these devices. In recent times, most researchers and scholars have used deep learning approaches to detect Android malware. Although deep learning techniques provide good a...
Alternative Titles
Full title
A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_deeefc4be5664328b61a586716fa0537
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_deeefc4be5664328b61a586716fa0537
Other Identifiers
ISSN
1687-9724
E-ISSN
1687-9732
DOI
10.1155/2022/4119500
