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Esquema robusto de cero-marca de agua y signcriptación para la protección de derechos de autor de imágenes y
Pham Thai Hung1, Ta Minh Thanh2
1Institute of Information and Communication Technology, 236 Hoang Quoc Viet, Cau Giay, Ha Noi, Vietnam.
Scientific reports
|February 14, 2026
Resumen
Este estudio introduce una técnica robusta de cero-marca de agua (ZW) para la protección segura de derechos de autor de imágenes. El método garantiza alta precisión y bajo costo computacional, salvaguardando la información de propiedad y licencia contra ataques.
Área de la Ciencia:
- Ciencias de la Computación
- Seguridad de la Información
- Procesamiento Digital de Imágenes
Sus antecedentes:
- La cero-marca de agua (ZW) es vital para la protección de derechos de autor de imágenes sin alterar los datos originales.
- Los métodos ZW existentes tienen dificultades con las distorsiones geométricas y los ataques de procesamiento de señales.
- Las imágenes médicas y de alta fidelidad requieren una protección de derechos de autor robusta.
Objetivo del estudio:
- Proponer un esquema seguro y robusto de cero-marca de agua para imágenes médicas y de color natural.
- Apoyar la autenticación conjunta de propiedad y la verificación de licencias.
- Mejorar la protección contra diversos ataques manteniendo la eficiencia.
Principales métodos:
- Combina la selección de subregiones basada en entropía y SIFT.
- Utiliza DWT-DCT para la extracción de características.
- Emplea fusión XOR con un logo revuelto de Arnold y signcriptación de estilo ElGamal.
- Registra marcas de agua locales en una Autoridad de Certificación (CA) para la reconstrucción global.
Principales resultados:
- Logra una correlación normalizada (NC) superior a 0.99 bajo diversos ataques, demostrando robustez.
- El módulo de signcriptación tiene una baja sobrecarga computacional (aproximadamente 8.5 ms para cifrado/descifrado-verificación).
- Se logra una protección efectiva de la información de propiedad y licencia.
Conclusiones:
- El esquema ZW propuesto ofrece una protección de derechos de autor robusta y segura para imágenes.
- Proporciona una compensación favorable entre seguridad y eficiencia computacional.
- Adecuado para aplicaciones prácticas en imágenes médicas y gestión de derechos de autor.
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