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
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
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
Author / Creator
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