A Malicious Code Detection Method Based on FF-MICNN in the Internet of Things
A Malicious Code Detection Method Based on FF-MICNN in the Internet of Things
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
It is critical to detect malicious code for the security of the Internet of Things (IoT). Therefore, this work proposes a malicious code detection algorithm based on the novel feature fusion-malware image convolutional neural network (FF-MICNN). This method combines a feature fusion algorithm with deep learning. First, the malicious code is transfo...
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Full title
A Malicious Code Detection Method Based on FF-MICNN in the Internet of Things
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TN_cdi_doaj_primary_oai_doaj_org_article_ec064d2d89ff493092a758c0a53ebe52
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec064d2d89ff493092a758c0a53ebe52
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22228739
