Medical Test Image Authentication With Multi-Ownership Certification and Sensitive Test Data Validation
Medical Test Image Authentication With Multi-Ownership Certification and Sensitive Test Data Validation |
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| © 2024 by IJETT Journal | ||
| Volume-72 Issue-4 |
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| Year of Publication : 2024 | ||
| Author : Saikat Bose, Tripti Arjariya, Anirban Goswami |
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| DOI : 10.14445/22315381/IJETT-V72I4P129 | ||
How to Cite?
Saikat Bose, Tripti Arjariya, Anirban Goswami, "Medical Test Image Authentication With Multi-Ownership Certification and Sensitive Test Data Validation," International Journal of Engineering Trends and Technology, vol. 72, no. 4, pp. 279-296, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I4P129
Abstract
The technique of steganography has been widely used for sensitive data protection. The proposed technique is based on the authentication and validation of patient’s health records in a digital environment. This helps in correct diagnosis, subsequent treatment and claim medical insurance. Multi-scale validation for digital medical images is combined with trusted ownership claims. The ownership is complied with the patient’s fingerprint, private share of the laboratory logo and pathologist’s signature. Each of these components is integrated into each of the four segments of the four regions of a medical image. The security of data is ensured through CIA (Confidentiality, Integrity and Authentication) property and non-repudiations. The embedding pattern is confidential through a hash value-based data set. The first hash value specifies the sub-image block interval, and the second hash value determines the circular orientation of embedded image fragments, both on sub-image block elements. Even though the data and one share can be public, but client side will stage-wise validate the medical image utilizing identical hash operations. The test results like PSNR (Peak signal-to-noise ratio) (41.08 dB) on real-time images emphasise superiority over similar existing algorithms. To conclude, the technique proposes superiorly enhanced features like data hiding imperceptibility and robustness with intrinsic encoding strategies as compared to existing approaches from different perspectives.
Keywords
Digital Signature Validation, Multi-Ownership Certification, Medical Image Authentication, Region Wise Multi-Copy Signature Casting, Variable Encoding.
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