A Novel Neural Network Architecture Using Automated Correlated Feature Layer to Detect Android Malwa...
A Novel Neural Network Architecture Using Automated Correlated Feature Layer to Detect Android Malware Applications
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Android OS devices are the most widely used mobile devices globally. The open-source nature and less restricted nature of the Android application store welcome malicious apps, which present risks for such devices. It is found in the security department report that static features such as Android permissions, manifest files, and API calls could sign...
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Full title
A Novel Neural Network Architecture Using Automated Correlated Feature Layer to Detect Android Malware Applications
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TN_cdi_doaj_primary_oai_doaj_org_article_82511d31cdd447fca64e60adbf849000
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_82511d31cdd447fca64e60adbf849000
Other Identifiers
ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math11204242
