Revista ELECTRO
Vol. 47 – Año 2025
Artículo
TÍTULO
Esteganografía Lingüística en Texto en Español
AUTORES
Sánchez-Rinza, B.E.; Hernández-Flores, M.R.; Rossainz-López, M.
RESUMEN
La esteganografía lingüística permite ocultar mensajes dentro de textos naturales, disimulando su existencia. Este trabajo presenta una herramienta en Python que inserta periódicamente palabras de un mensaje secreto en textos generados automáticamente, usando corpus lingüísticos para mantener la naturalidad del texto portador. La aplicación incluye una interfaz gráfica y opera en español e inglés. Los resultados muestran que el sistema es determinista y reversible, recuperando mensajes correctamente bajo parámetros conocidos. Sin embargo, la té cnica presenta limitaciones: es vulnerable a análisis estadísticos y lingüísticos, su evaluación se basó en ejemplos ilustrativos sin métricas objetivas, y depende de un corpus específico que limita la diversidad de textos. Como trabajo futuro se propone i ntegrar modelos generativos avanzados (GPT, BERT), evaluar la resistencia frente a detección automatizada y comparar con otras técnicas de esteganografía textual. Este estudio constituye una contribución inicial y demostrativa en esteganografía lingüística en español.
Palabras Clave: esteganografía, criptografía, corpus lingüísticos.
ABSTRACT
Linguistic steganography allows hiding messages within natural texts, concealing their existence. This work presents a Python tool that periodically inserts words fro m a secret message into automatically generated texts, using linguistic corpora to preserve the naturalness of the carrier text. The application includes a graphical interface and supports both Spanish and English. Results show that the system is determini stic and reversible, correctly recovering messages under known parameters. However, the technique has limitations: it is vulnerable to statistical and linguistic analysis, its evaluation relied on illustrative examples without objective metrics, and it dep ends on a specific corpus, which limits text diversity. Future work includes integrating advanced generative models (GPT, BERT), evaluating resistance against automated detection, and comparing with other textual steganography techniques. This study repres ents an initial and demonstrative contribution to linguistic steganography in Spanish.
Keywords: steganography, cryptography, linguistic corpora
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CITAR COMO:
Sánchez-Rinza, B.E.; Hernández-Flores, M.R.; Rossainz-López, M., "Esteganografía Lingüística en Texto en Español", Revista ELECTRO, Vol. 47, 2025, pp. 13-16.
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