Medical image encryption is becoming increasingly important to protect the confidentiality of patient medical information. Medical images contain confidential information about patient identities. Privacy and security must be ensured to protect the confidentiality of digital images stored online. In this work, take new DNA, a chaos map, a 2D-Henon signature map (2D-HSM), and SHA-512 as input. 2D-HSM and SHA-512 are used to generate the keys. An encryption process based on two levels of mixing with Henon and Mersenne Twister (MT) maps is presented. The key is then used to perform a DNA-based XOR operation. The encoded image is recovered by a decoding process based on DNA rules. The extensive result is performed on various forms of security measures, such as key space, information entropy, noise analysis, histogram analysis, and differential attack analysis. The proposed scheme outperforms the existing methods.

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A Novel Chaos and DNA Computing for Medical Image Encryption

  • Anita Murmu,
  • Mobashshirur Rahman,
  • Piyush Kumar

摘要

Medical image encryption is becoming increasingly important to protect the confidentiality of patient medical information. Medical images contain confidential information about patient identities. Privacy and security must be ensured to protect the confidentiality of digital images stored online. In this work, take new DNA, a chaos map, a 2D-Henon signature map (2D-HSM), and SHA-512 as input. 2D-HSM and SHA-512 are used to generate the keys. An encryption process based on two levels of mixing with Henon and Mersenne Twister (MT) maps is presented. The key is then used to perform a DNA-based XOR operation. The encoded image is recovered by a decoding process based on DNA rules. The extensive result is performed on various forms of security measures, such as key space, information entropy, noise analysis, histogram analysis, and differential attack analysis. The proposed scheme outperforms the existing methods.