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              <text>Protecting Medical Research Data Using Next Gen Steganography Approach</text>
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              <text>Digital watermarking; Medical image security; Steganography</text>
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              <text>In this paper our main aim is to protect medical research information, when data either images or information shared via internet or stored on hard drive 3rd person cant access without authentication. As needs be, there has been an expanded enthusiasm for ongoing years to upgrade the secrecy of patients data. For this we combined different techniques to provide more security. Our approach is a combination of cryptography, Steganography &amp;amp; digital watermarking we named this technique as Next Gen. We used cryptography for encrypting the patients information even if they find image is stegonized and digital watermarking for authenticity and for Steganography we used most popular least significant bit algorithm (LSB). The experimental outcomes with various inputs show that the proposed technique gives a decent tradeoff between security, implanting limit and visual nature of the stego pictures.  2020, Springer Nature Switzerland AG.</text>
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              <text>Praveen B.; Samanta D.; Prasad G.; Ranjith Kumar C.; Prasad M.L.M.</text>
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              <text>Learning and Analytics in Intelligent Systems, Vol-9, pp. 340-348.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-030-38501-9_34" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-030-38501-9_34&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISSN: 26623447</text>
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              <text>Praveen B., University of Mysore, Mysore, India; Samanta D., Department of CS, Christ (Deemed to be University), Bangalore, India; Prasad G., VBIT, Hyderabad, India; Ranjith Kumar C., BVCITS, Amalapuram, India; Prasad M.L.M., JBREC, Hyderabad, India</text>
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