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doi.org/10.1016/j.eswa.2021.115524
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A bidirectional LSTM deep learning approach for intrusion detection
Yakubu Imrana
9
,
Yanping Xiang
23
,
...,
Zaharawu Abdul-Rauf
2
View all 4 authors
Expert Systems with Applications
7.50
Volume: 185, Pages: 115524 - 115524
Published
: Jul 16, 2021
243
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Paper Fields
Machine learning
Artificial intelligence
Intrusion detection system
Geography
Data mining
Anomaly-based intrusion detection system
Recurrent neural network
Computer science
Geodesy
Benchmark (surveying)
Long short term memory
False alarm
Computer security
Artificial neural network
Paper Details
Title
A bidirectional LSTM deep learning approach for intrusion detection
DOI
doi.org/10.1016/j.eswa.2021.115524
Published Date
Jul 16, 2021
Journal
Expert Systems with Applications
Volume
185
Pages
115524 - 115524
Notes
History
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