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Related Experiment Video

Updated: Feb 4, 2026

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Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm.

T Avudaiappan1, R Balasubramanian2, S Sundara Pandiyan3

  • 1Department of Computer Science and Engineering, K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India.

Journal of Medical Systems
|September 24, 2018
PubMed
Summary
This summary is machine-generated.

This study enhances medical image security using a dual encryption method with Blowfish and signcryption, optimized by Opposition-based Flower Pollination (OFP) for key management. The approach ensures secure transmission of sensitive patient data.

Keywords:
Blowfish encryption algorithmMedical image securityPSNR and opposition based flower pollination optimizationSigncryption

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Area of Science:

  • Medical Imaging
  • Cybersecurity
  • Data Encryption

Background:

  • Medical image transmission over public networks poses significant security risks due to sensitive patient data.
  • Ensuring the confidentiality and integrity of medical images is paramount for patient privacy and healthcare security.
  • Existing security methods may not adequately address the dual requirements of confidentiality and authenticity in medical image transmission.

Purpose of the Study:

  • To propose a novel dual encryption strategy for securing sensitive medical image data during transmission.
  • To enhance the security of medical images by integrating Blowfish encryption and signcryption algorithms.
  • To optimize the key generation process using the Opposition-based Flower Pollination (OFP) algorithm for improved security.

Main Methods:

  • A dual encryption procedure involving Blowfish encryption for initial data scrambling.
  • Application of the signcryption algorithm to ensure both confidentiality and authenticity of the encrypted medical images.
  • Optimization of private and public keys using the Opposition-based Flower Pollination (OFP) algorithm.

Main Results:

  • The proposed dual encryption strategy demonstrates effective security for medical image transmission.
  • Performance evaluation using Peak Signal to Noise Ratio (PSNR), entropy, Mean Square Error (MSE), and Correlation Coefficient (CC) indicates the robustness of the method.
  • Key optimization via OFP enhances the overall security model's efficiency and strength.

Conclusions:

  • The integrated approach of Blowfish encryption, signcryption, and OFP-based key optimization provides a secure and efficient solution for medical image transmission.
  • This method effectively safeguards sensitive patient information against unauthorized access and ensures data integrity.
  • The proposed strategy offers a promising advancement in medical image security protocols.