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Towards Explainable Quantum Machine Learning for Mobile Malware Detection and Classification

Towards Explainable Quantum Machine Learning for Mobile Malware Detection and Classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_974dbc4714024b62bbd2d60d70ef9e8e

Towards Explainable Quantum Machine Learning for Mobile Malware Detection and Classification

About this item

Full title

Towards Explainable Quantum Machine Learning for Mobile Malware Detection and Classification

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-12, Vol.12 (23), p.12025

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Through the years, the market for mobile devices has been rapidly increasing, and as a result of this trend, mobile malware has become sophisticated. Researchers are focused on the design and development of malware detection systems to strengthen the security and integrity of sensitive and private information. In this context, deep learning is expl...

Alternative Titles

Full title

Towards Explainable Quantum Machine Learning for Mobile Malware Detection and Classification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_974dbc4714024b62bbd2d60d70ef9e8e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_974dbc4714024b62bbd2d60d70ef9e8e

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app122312025

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