Improving the speed of chaotic-maps-based image encryption using parallelization

Amany Elrefaey, Amany Mahmoud Sarhan, Nada M. Elshennawy · 2017

Data encryption is crucial for protecting confidential information on the internet. However, the rapid growth of multimedia based communication and real-time systems requires similar improvement in the performance of the encryption algorithms to keep pace with this growth. In this paper, we propose a new parallel implementation for a Chaotic-based image encryption method. The proposed method exploits the capabilities of the parallel processing environments in improving the performance of Chaotic-based encryption algorithms. The proposed parallel implementations are evaluated using different images of different sizes to ensure its validity. The performance is compared to the original serial implementation of the same algorithm showing that the performance is highly improved compared to the original sequential version of the same algorithm.

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