Essential Multi-Secret Image Sharing for Sensor Images
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>...
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| פורמט: | Article |
| שפה: | אנגלית |
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MDPI AG
2025-07-01
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| סדרה: | Journal of Imaging |
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| גישה מקוונת: | https://www.mdpi.com/2313-433X/11/7/228 |
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| סיכום: | 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. |
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| ISSN: | 2313-433X |