Peer-reviewedCC BY 4.0Scientific Reports
ChGBO_QRNN: chronological gooseneck barnacle-based quantum recurrent neural networks for intrusion detection in IoT-SDN
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BibTeX
@article{jyothi2026chgboqrnn,
title = {{ChGBO_QRNN: chronological gooseneck barnacle-based quantum recurrent neural networks for intrusion detection in IoT-SDN}},
author = {B. N. Swarna Jyothi and S. Thaiyalnayaki},
journal = {Scientific Reports},
year = {2026},
month = nov,
doi = {10.1038/s41598-026-77848-0},
url = {https://www.nature.com/articles/s41598-026-77848-0},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - ChGBO_QRNN: chronological gooseneck barnacle-based quantum recurrent neural networks for intrusion detection in IoT-SDN
AU - B. N. Swarna Jyothi
AU - S. Thaiyalnayaki
PY - 2026
DA - 2026/11/07
JO - Scientific Reports
DO - 10.1038/s41598-026-77848-0
UR - https://www.nature.com/articles/s41598-026-77848-0
SN - 2045-2322
ER -