Essential Multi-Secret Image Sharing for Sensor Images

• Published in: Journal of Imaging
• Main Author: Shang-Kuan Chen
• Format: Article
• Language: English
• Published: MDPI AG 2025-07-01
• Subjects: essential secret image sharing; secret image sharing; multi-secret image sharing
• Online Access: https://www.mdpi.com/2313-433X/11/7/228

In this paper, we propose an innovative <i>essential multi-secret image sharing (EMSIS)</i> scheme that integrates sensor data to securely and efficiently share multiple secret images of varying importance. Secret images are categorized into hierarchical levels and encoded into <i>essential shadows</i> and <i>fault-tolerant non-essential shares</i>, with access to higher-level secrets requiring higher-level essential shadows. By incorporating sensor data, such as location, time, or biometric input, into the encoding and access process, the scheme enables the context-aware and adaptive reconstruction of secrets based on real-world conditions. Experimental results demonstrate that the proposed method not only strengthens hierarchical access control, but also enhances robustness, flexibility, and situational awareness in secure image distribution systems.