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GPU-Accelerated implementation of a genetically optimized image encryption algorithm.

Brijgopal Bharadwaj1, J Saira Banu1, M Madiajagan1

  • 1School of Computer Science Engineering, Vellore Institute of Technology, Vellore, India.

Soft Computing
|October 5, 2021
PubMed
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This study introduces a fast image encryption method using a GPU-accelerated modified XOR cipher and a genetically optimized pseudo-random generator. The enhanced algorithm offers significant speedups for encryption and decryption, improving real-time media applications.

Area of Science:

  • Computer Science
  • Cryptography
  • Image Processing

Background:

  • Image encryption is crucial for data security.
  • Existing methods may lack efficiency for real-time applications.

Purpose of the Study:

  • To develop and evaluate a GPU-accelerated image encryption algorithm.
  • To enhance encryption/decryption speed and security.

Main Methods:

  • Modified XOR cipher with a genetically optimized pseudo-random generator.
  • GPU acceleration for parallel processing.
  • Security and performance analysis using histogram, correlation, entropy, NPCR, and UACI metrics.

Main Results:

  • Significant speedup ratios achieved: 3.489 for encryption and 4.055 for decryption.
Keywords:
CUDA programmingGPUGenetic optimizationImage encryptionPseudo-random generatorSymmetric key

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  • Algorithm demonstrates strong security against various attacks through comprehensive analysis.

    • Conclusions:

    • The proposed GPU-accelerated image encryption algorithm offers a robust and efficient solution.
    • The enhanced performance is suitable for demanding applications like real-time media processing.