Adoption and realization of deep learning in network traffic anomaly detection device design
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-020-05210-1.pdf
Reference42 articles.
1. Abadía-Barrero CE (2018) Kangaroo mother care in Colombia: a subaltern health innovation against for-profit biomedicine. Med Anthropol Q 32(3):384–403
2. Ait-Kaddour A, Loudiyi M, Ferlay A, Gruffat D (2018) Performance of fluorescence spectroscopy for beef meat authentication: effect of excitation mode and discriminant algorithms. Meat Sci 137:58–66
3. Al Tobi AM, Duncan I (2018) KDD 1999 generation faults: a review and analysis. J Cyber Secur Technol 2(3–4):164–200
4. Banerjee I, Ling Y, Chen MC et al (2019) Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif Intell Med 97:79–88
5. Bang JH, Cho YJ, Kang K (2017) Anomaly detection of network-initiated LTE signaling traffic in wireless sensor and actuator networks based on a hidden semi-Markov model. Comput Secur 65:108–120
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