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

Security is the most critical issue amid transmission of medical images because it contains sensitive information of patients. Medical image security is an essential method for secure the sensitive data when computerized images and their relevant patient data are transmitted across public networks....

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Publicado en:Journal of Medical Systems Vol. 42; no. 11; pp. 1 - 2
Autores principales: Avudaiappan, T., Balasubramanian, R., Pandiyan, S. Sundara, Saravanan, M., Lakshmanaprabu, S. K., Shankar, K.
Formato: diagnostic images equations & formulas tables/charts Journal Article
Publicado: Springer Nature Nov2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-018-1053-z
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        atl: Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm.
      aug:
        au:
          Avudaiappan, T.
          Balasubramanian, R.
          Pandiyan, S. Sundara
          Saravanan, M.
          Lakshmanaprabu, S. K.
          Shankar, K.
        affil: Department of Computer Science and Engineering, K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India
      sug:
        subj:
          Data Security Methods
          Teleradiology
          Encryption Methods
          Algorithms
          Quality Improvement
          Sensitivity and Specificity
      ab: Security is the most critical issue amid transmission of medical images because it contains sensitive information of patients. Medical image security is an essential method for secure the sensitive data when computerized images and their relevant patient data are transmitted across public networks. In this paper, the dual encryption procedure is utilized to encrypt the medical images. Initially Blowfish Encryption is considered and then signcryption algorithm is utilized to confirm the encryption model. After that, the Opposition based Flower Pollination (OFP) is utilized to upgrade the private and public keys. The performance of the proposed strategy is evaluated using performance measures such as Peak Signal to Noise Ratio (PSNR), entropy, Mean Square Error (MSE), and Correlation Coefficient (CC).
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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