Blockchain-driven machine learning-enabled intrusion-resilient authenticated key agreement protocol for edge-centric IoT systems.

Karnatak V, Tripathi N, Wazid M, Mittal S, Das AK, K VB

DOI: 10.1038/s41598-026-55266-6
Published: 2026 May 29
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-55266-6,
  title = {Blockchain-driven machine learning-enabled intrusion-resilient authenticated key agreement protocol for edge-centric IoT systems.},
  author = {Karnatak V and Tripathi N and Wazid M and Mittal S and Das AK and K VB},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-55266-6},
  url = {https://doi.org/10.1038/s41598-026-55266-6}
}

RIS

TY  - JOUR
TI  - Blockchain-driven machine learning-enabled intrusion-resilient authenticated key agreement protocol for edge-centric IoT systems.
AU  - Karnatak V
AU  - Tripathi N
AU  - Wazid M
AU  - Mittal S
AU  - Das AK
AU  - K VB
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-55266-6
UR  - https://doi.org/10.1038/s41598-026-55266-6
ER  -

APA

V, K., N, T., M, W., S, M., AK, D., & VB, K. (2026). Blockchain-driven machine learning-enabled intrusion-resilient authenticated key agreement protocol for edge-centric IoT systems.. Scientific reports. https://doi.org/10.1038/s41598-026-55266-6

Source records

pubmed · retrieved 2026-09-26T06:52:42.962Z