Advanced security framework for 5G-SDN attack detection and mitigation using Affinity Cohesive Clustering and Improved Chaotic Walrus-Optimized Convolutional LSTM with Deep Dual Info-Varcoder

Shameli R., Sujatha Rajkumar

Open source

DOI
10.3389/frai.2026.1832131
Published
2026-09-03
Container
Frontiers in Artificial Intelligence
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/frai.2026.1832131,
  title = {Advanced security framework for 5G-SDN attack detection and mitigation using Affinity Cohesive Clustering and Improved Chaotic Walrus-Optimized Convolutional LSTM with Deep Dual Info-Varcoder},
  author = {Shameli R. and Sujatha Rajkumar},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1832131},
  url = {https://doi.org/10.3389/frai.2026.1832131}
}

RIS

TY  - JOUR
TI  - Advanced security framework for 5G-SDN attack detection and mitigation using Affinity Cohesive Clustering and Improved Chaotic Walrus-Optimized Convolutional LSTM with Deep Dual Info-Varcoder
AU  - Shameli R.
AU  - Sujatha Rajkumar
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1832131
UR  - https://doi.org/10.3389/frai.2026.1832131
ER  - 

APA

R., S., & Rajkumar, S. (2026). Advanced security framework for 5G-SDN attack detection and mitigation using Affinity Cohesive Clustering and Improved Chaotic Walrus-Optimized Convolutional LSTM with Deep Dual Info-Varcoder. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1832131

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