Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning.
- DOI
- 10.1371/journal.pone.0348293
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0348293,
title = {Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning.},
author = {Roy KS and Singh S and Goswami H and Panchal S and Hassan SM},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0348293},
url = {https://doi.org/10.1371/journal.pone.0348293}
}RIS
TY - JOUR TI - Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning. AU - Roy KS AU - Singh S AU - Goswami H AU - Panchal S AU - Hassan SM PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0348293 UR - https://doi.org/10.1371/journal.pone.0348293 ER -
APA
KS, R., S, S., H, G., S, P., & SM, H. (2026). Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning.. PloS one. https://doi.org/10.1371/journal.pone.0348293
Source records
- pubmed · retrieved 2026-09-25T00:12:23.036Z
- europe-pmc · retrieved 2026-09-25T00:12:23.052Z
- doaj · retrieved 2026-09-25T00:12:23.147Z