Group intrusion detection in the Internet of Things using a hybrid recurrent neural network-Reference-Cited by-同舟云学术

Group intrusion detection in the Internet of Things using a hybrid recurrent neural network

Published:2022-10-31 Issue:2 Volume:26 Page:1147-1158
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Belhadi Asma,Djenouri Youcef,Djenouri Djamel,Srivastava Gautam^ORCID,Lin Jerry Chun-Wei

Funder

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

https://link.springer.com/content/pdf/10.1007/s10586-022-03779-w.pdf

Reference43 articles.

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4. Bagozi, A., Bianchini, D., De Antonellis, V.: Multi-level and relevance-based parallel clustering of massive data streams in smart manufacturing. Inf. Sci. 577, 805–823 (2021)

5. Bai, S., He, Z., Lei, Y., Wu, W., Zhu, C., Sun, M., Yan, J.: Traffic anomaly detection via perspective map based on spatial-temporal information matrix. In: Proc. CVPR Workshops (2019)

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