Contextual Language Manifold Learning for Operational Trust Quantification in Railway Communication Infrastructures

Authors

  • Syed Akramuddin, P. Vamshi Krishna Author

DOI:

https://doi.org/10.48047/4s8ckf74

Keywords:

Railway Communication Security, Natural Language Processing, SBERT, Ensemble Learning, Security Classification, Intelligent Transportation Systems

Abstract

The rapid communication digitalization systems of has railway generated substantial volumes of textual communication 
records associated with signaling operations, network status, control messages, and security events, making accurate communication security analysis essential for ensuring safe and reliable railway operations. Existing railway 

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Published

10.07.2026

Issue

Vol. 16 No. 2 (2026): volume 16 issue 2(2026)

Section

Articles

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How to Cite

Contextual Language Manifold Learning for Operational Trust Quantification in Railway Communication Infrastructures . (2026). International Journal of Information and Electronics Engineering, 16(2), 610-619. https://doi.org/10.48047/4s8ckf74