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Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visu...

Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visu...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_843b525acd5a4df8abb332aadb7d4a77

Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation

About this item

Full title

Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6766

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Android has become the leading mobile ecosystem because of its accessibility and adaptability. It has also become the primary target of widespread malicious apps. This situation needs the immediate implementation of an effective malware detection system. In this study, an explainable malware detection system was proposed using transfer learning and...

Alternative Titles

Full title

Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_843b525acd5a4df8abb332aadb7d4a77

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_843b525acd5a4df8abb332aadb7d4a77

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22186766

How to access this item