Network Anomaly Detection Using Deep Autoencoder and Parallel Artificial Bee Colony Algorithm-Trained Neural Network
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Date
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
20
OpenAIRE Views
88
Publicly Funded
No
BIP! Indicators
Impulse
Top 10%
Influence
Average
Popularity
Top 10%
Abstract
Description
Keywords
Artificial Neural Network, Artificial Bee Colony, Network Intrusion Detection Systems (NIDS), Anomaly Detection, Metaheuristics, UNSW-NB15, Deep Autoencoder, Swarm Intelligence, Nf-unsw-nb15-v2, Anomaly detection, UNSW-NB15, Artificial neural network, Network intrusion detection systems (NIDS), NF-UNSW-NB15-v2, Deep Autoencoder, Electronic computers. Computer science, Artificial bee colony, Swarm intelligence, Metaheuristics, Anomaly detection, QA75.5-76.95, Algorithms and Analysis of Algorithms
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
4
Source
Volume
10
Issue
Start Page
e2333
End Page
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Citations
Scopus : 7
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Mendeley Readers : 25
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