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Implementing a Chaotic Cryptosystem by Performing Parallel Computing on Embedded Systems with Multiprocessors.
Abraham Flores-Vergara1,2, Everardo Inzunza-González1, Enrique Efren García-Guerrero1
1UABC, Engineering, Architecture and Design Faculty, 22860 Ensenada, Mexico.
This study introduces a chaotic cryptosystem for digital images using parallel computing on embedded systems. The optimized system enhances processing speed and security for practical applications.
Area of Science:
- Computer Science
- Cryptography
- Embedded Systems
Background:
- Digital color image encryption is crucial for secure communication.
- Existing chaotic cryptosystems face challenges in efficiency and precision.
- Embedded systems with multiprocessors offer potential for advanced cryptographic implementations.
Purpose of the Study:
- To implement and optimize a chaotic cryptosystem for digital color images using parallel computing techniques.
- To determine the optimal number of processors for improved cryptosystem efficiency.
- To enhance the security and robustness of the chaotic cryptosystem.
Main Methods:
- Profiling and parallel computing techniques were applied to a cluster of six embedded systems.
- A stream encryption method using a pseudo-random number generator with high-precision arithmetic was employed.
- Parallel data processing with collective communication was utilized for encryption.
Main Results:
- The optimal number of processors was identified, significantly improving processing speed for chaotic sequence generation and encryption.
- High numerical precision reduced digital degradation and increased security levels.
- Security analysis confirmed the cryptosystem's robustness against known attacks.
Conclusions:
- The proposed chaotic cryptosystem is secure, robust, and efficient.
- The method is feasible for practical implementation in multiprocessor embedded devices like smartphones and tablets.
- Parallel computing and high-precision arithmetic are key to advancing chaotic cryptosystems.
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