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              <text>Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm</text>
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              <text>Blowfish encryption algorithm; Medical image security; PSNR and opposition based flower pollination optimization; Signcryption</text>
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              <text>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).  2018, Springer Science+Business Media, LLC, part of Springer Nature.</text>
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              <text>Avudaiappan T.; Balasubramanian R.; Pandiyan S.S.; Saravanan M.; Lakshmanaprabu S.K.; Shankar K.</text>
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              <text>Journal of Medical Systems, Vol-42, No. 11</text>
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              <text>Springer New York LLC</text>
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              <text>2018-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/s10916-018-1053-z" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s10916-018-1053-z&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053701439&amp;amp;doi=10.1007%2Fs10916-018-1053-z&amp;amp;partnerID=40&amp;amp;md5=9318610898f889e88d6aeafdcc53112e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053701439&amp;amp;doi=10.1007%2fs10916-018-1053-z&amp;amp;partnerID=40&amp;amp;md5=9318610898f889e88d6aeafdcc53112e&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 1485598; PubMed ID: 30244385; CODEN: JMSYD</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Avudaiappan T., Department of Computer Science and Engineering, K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India; Balasubramanian R., Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India; Pandiyan S.S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Saravanan M., Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India; Lakshmanaprabu S.K., Department of Electronics and Instrumentation Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, Tamilnadu, India; Shankar K., School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India</text>
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