Robust secret image sharing scheme resistance to maliciously tampered shadows by AMBTC and quantization
Yuyuan Sun1, Ching-Nung Yang2, Xuehu Yan1
1National University of Defense Technology, Hefei, 230037, China; Anhui Key Laboratory of Cyberspace Security Situation Awareness and Evaluation, Hefei, 230037, China.
Gene Expression Patterns : GEP
|August 8, 2022
Summary
This study introduces a robust secret image sharing scheme using Absolute Moment Block Truncation Coding (AMBTC) and quantization. The new method effectively resists large-area tampering of shadow images, ensuring better recovery quality.
Area of Science:
- Computer Science
- Information Security
- Cryptography
Background:
- Traditional secret image sharing (SIS) schemes struggle with large-area shadow image tampering.
- Incomplete or damaged shadow images prevent secret recovery in existing SIS methods.
Purpose of the Study:
- To propose a robust secret image sharing scheme resistant to malicious tampering.
- To enhance the recovery quality of secret images even when shadow images are significantly altered.
Main Methods:
- The proposed scheme employs Absolute Moment Block Truncation Coding (AMBTC) and quantization for secret image compression.
- Secret image data is compressed using two methods: AMBTC and quantization.
- Shadow images are generated containing sharing results from different compressed parts.
Main Results:
- The scheme demonstrates resilience against large-area malicious tampering of shadow images.
- Recovered secret images exhibit acceptable visual quality despite significant tampering.
- The proposed method outperforms existing schemes in resisting tampering and improving recovery quality.
Conclusions:
- The developed robust secret image sharing scheme effectively protects secret images against advanced tampering attacks.
- The combination of AMBTC and quantization provides a superior approach for secure and robust image sharing.
