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    <name>Article</name>
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          <name>Title</name>
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              <text>Improved Henon Chaotic Map-based Progressive Block-based visual cryptography strategy for securing sensitive data in a cloud EHR system</text>
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          <name>Subject</name>
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              <text>Henon maps; Improved henon chaotic map; Lorentz maps; Progressive visual cryptography; Secret sharing</text>
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              <text>The core objective of secret sharing concentrates on developing a novel technique that prevents the destruction and leakage of original data during the distribution and encoding processes. Progressive Visual Cryptography (VC) is considered for the potential over the traditional VC schemes since the former does not require and does not suffer from the limitations of requiring a minimum number of participants during the process of encryption and sharing. The chaotic map-based Progressive VC is superior in facilitating predominant secrecy under sharing and encryption. In this paper, an Improved Henon Chaotic Map-based Progressive Block-based VC (IHCMPBVC) scheme is proposed to prevent the leakage and destruction of sensitive information during an exchange and encryption. This proposed IHCMPBVC technique uses the merits of Henon and Lorentz maps for effective encryption since it introduces the option of deriving non-linear behavior that results in sequence generation that covers the complete range with proper distribution in order to minimize the degree of leaks in sharing. The simulation results of the proposed IHCMPBVC technique investigated using entropy, PSNR, and Mean Square Error were improved at an average rate of 27%, 23%, and 31%, predominant to the baseline VC approaches considered in the comparison.  2022 The Authors</text>
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          <name>Creator</name>
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              <text>Mohanasundaram A.; Aruna S.K.</text>
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              <text>International Journal of Intelligent Networks, Vol-3, pp. 109-112.</text>
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              <text>KeAi Communications Co.</text>
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          <name>Date</name>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.ijin.2022.08.004" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.ijin.2022.08.004&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138500541&amp;amp;doi=10.1016%2Fj.ijin.2022.08.004&amp;amp;partnerID=40&amp;amp;md5=c06307b2ae517d72b0f57d8278b1b671" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138500541&amp;amp;doi=10.1016%2fj.ijin.2022.08.004&amp;amp;partnerID=40&amp;amp;md5=c06307b2ae517d72b0f57d8278b1b671&lt;/a&gt;</text>
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          <name>Rights</name>
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              <text>All Open Access; Gold Open Access</text>
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              <text>ISSN: 26666030</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Mohanasundaram A., Department of Applied Computer Science, Vrije Universiteit Brussel, Belgium; Aruna S.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), India</text>
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