Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data
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Title
Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data
Authors
Keywords
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Journal
Applied Sciences-Basel
Volume 10, Issue 7, Pages 2373
Publisher
MDPI AG
Online
2020-04-01
DOI
10.3390/app10072373
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