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A Smart Image Encryption Technology via Applying Personal Information and Speaker-Verification System
Shih-Yu Li1, Chun-Hung Lee2, Lap-Mou Tam3,4
1Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei 10608, Taiwan.
Sensors (Basel, Switzerland)
|July 14, 2023
Summary
This study introduces a secure image protection framework using user accounts, passwords, and voice biometrics for robust encryption. The developed system enhances image security through hyper-chaotic systems and biometric features.
Area of Science:
- Computer Science
- Information Security
- Cryptography
Background:
- Digital image security is crucial for protecting sensitive information.
- Existing encryption methods require robust authentication and key management.
Purpose of the Study:
- To develop a novel framework for personal image protection and authorization.
- To enhance image encryption security using a combination of user credentials and biometric data.
Main Methods:
- Implemented a two-system framework involving speaker verification and image encryption.
- Utilized user accounts, passwords, and voice (I-vectors) as keys for ciphering.
- Employed hyper-chaotic systems for private key generation and image shuffling/ciphering.
Main Results:
- Achieved robust image encryption by integrating biometric features.
- Demonstrated lower correlation in cipher images, indicating effective encryption.
- Validated the framework's efficiency using standard USC-SIPI image datasets.
Conclusions:
- The developed framework offers a secure and efficient solution for personal image protection.
- Combining multi-factor authentication (credentials and biometrics) significantly enhances encryption robustness.
- The proposed method is effective for securing digital images against unauthorized access.
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