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              <text>Block chain-based security and authentication for forensics application using consensus proof of work and zero knowledge protocol</text>
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              <text>Blockchain and Consensus algorithm; Image authentication; Protocol; Security</text>
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              <text>The technique that checks the origin, integrity, Zero-Knowledge authenticity of photographs is known as image authentication. Numerous studies on image authentication have revealed numerous trade-offs between four desirable features, namely robustness, security, flexibility, and efficiency. This study demonstrated a high-security Forensic Image (FI) as well as an authentication mechanism. Initially, the FI considered image registration with features for the Consensus method (CM) to generate blocks on each feature using a hypothesis test-based similarity measure. Because Proof-of-Work (PoW) blockchain technology is widely used, maintaining the Consensus PoW(CPoW) requires a massive amount of computing power. ZKP authentication is a critical cryptographic mechanism that authenticates network nodes without revealing the users identity or any other data given by the user. The blockchain stores the secret information, as well as the hash value of the original FI. This allows for the tracking of all medical pictures exchanged through the proposed blockchain network. The blockchain stores the private information as well as the hash value of the original medical image. The experimental results indicate the utility of the proposed approach with performance measures in contrast to established security analysis methods.  Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.</text>
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              <text>S B G.; Danti A.</text>
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              <text>International Journal of Information Technology (Singapore)</text>
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              <text>Springer Science and Business Media B.V.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/s41870-024-01864-4" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s41870-024-01864-4&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192059704&amp;amp;doi=10.1007%2Fs41870-024-01864-4&amp;amp;partnerID=40&amp;amp;md5=5d1009cf2abc9a295ab5eb7c793f08d8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192059704&amp;amp;doi=10.1007%2fs41870-024-01864-4&amp;amp;partnerID=40&amp;amp;md5=5d1009cf2abc9a295ab5eb7c793f08d8&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 25112104</text>
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              <text>Online</text>
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              <text>S B G., CHRIST (Deemed to be University), Computer Science and Engineering, Karnataka, Bangalore, 560074, India; Danti A., CHRIST (Deemed to be University), Computer Science and Engineering, Karnataka, Bangalore, 560074, India</text>
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