Enhanced Geospatial Raster Data Protection: Harnessing Chaos Maps and DNA Encryption
Prajakta Bhangale, Shubhangi L. Vaikole · 2024
Securing the transmission of digital images in geospatial data is vital, given its sensitive nature and diverse applications. Proper encryption and authentication scheme to ensure the confidentiality and integrity of the data and prevent unauthorized access. This proposed work investigates the approach in cryptography by integrating chaos mapping with DNA computing for creating robust image encryption system using Chirikov map and Chebyshiv Map. The research proposes a secure encryption framework for digital images using a security function, focusing on a disease detection module based on chaotic systems and DNA inspired techniques to generate the encryption key and image scrambling for the robustness of the encryption. Furthermore, the study combines chaos theory with DNA computing in encrypting data to secure maximum security and efficiency.