An Energy Efficient, Robust, Sustainable, and Low Computational Cost Method for Mobile Malware Detec...
An Energy Efficient, Robust, Sustainable, and Low Computational Cost Method for Mobile Malware Detection
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
Android malware has been rising alongside the popularity of the Android operating system. Attackers are developing malicious malware that undermines the ability of malware detecting systems and circumvents such systems by obfuscating their disposition. Several machine learning and deep learning techniques have been proposed to retaliate to such pro...
Alternative Titles
Full title
An Energy Efficient, Robust, Sustainable, and Low Computational Cost Method for Mobile Malware Detection
Authors, Artists and Contributors
Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_d2ab814176634fff8c89e0a2c109a0c2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d2ab814176634fff8c89e0a2c109a0c2
Other Identifiers
ISSN
1687-9724
E-ISSN
1687-9732
DOI
10.1155/2023/2029064
