Document Type
Article
Source of Publication
IEEE Access
Publication Date
1-1-2022
DOI Link
ISSN
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
First Page
1
Last Page
1
Disciplines
Computer Sciences
Keywords
Internet of Things, Security, Organizations, Intrusion detection, Recurrent neural networks, Deep learning, Behavioral sciences
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Taher, Fatma; Elhoseny, Mohamed; Hassan, Mohammed k.; and El-Hasnony, Ibrahim M., "A Novel Tunicate Swarm Algorithm with Hybrid Deep Learning Enabled Attack Detection for Secure IoT Environment" (2022). All Works. 5494.
https://zuscholars.zu.ac.ae/works/5494
Indexed in Scopus
no
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series