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Detection of Malware by Deep Learning as CNN-LSTM Machine Learning Techniques in Real Time

Detection of Malware by Deep Learning as CNN-LSTM Machine Learning Techniques in Real Time

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2734754568

Detection of Malware by Deep Learning as CNN-LSTM Machine Learning Techniques in Real Time

About this item

Full title

Detection of Malware by Deep Learning as CNN-LSTM Machine Learning Techniques in Real Time

Publisher

Basel: MDPI AG

Journal title

Symmetry (Basel), 2022-11, Vol.14 (11), p.2308

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Cyber-attacks on the numerous parts of today’s fast developing IoT are only going to increase in frequency and severity. A reliable method for detecting malicious attacks such as botnet in the IoT environment is critical for reducing security risks on IoT devices. Numerous existing methods exist for mining IoT networks for previously discovered pat...

Alternative Titles

Full title

Detection of Malware by Deep Learning as CNN-LSTM Machine Learning Techniques in Real Time

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2734754568

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2734754568

Other Identifiers

ISSN

2073-8994

E-ISSN

2073-8994

DOI

10.3390/sym14112308

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