Protecting Medical Image Transmission: Color Secret Sharing Protocol for Enhanced Security

The safety in the transmission of medical images cannot be compromised in the digital age, as the information contained is very sensitive. This paper presents a new approach to providing security for medical image transmission using the Color Secret Sharing protocol. This is ensured by the proposed approach of dividing the medical image into many shares, each of which is encoded with independent color information, to ensure that the restoration of the original image can be done only if all the shares are combined. Thus, the risk related to unauthorized access and data breaching is much reduced during the transmission process. Security analysis and experimental validation are provided that demonstrate that the compared methods tend to efficiently resist attacks. This study embeds CSS into medical imaging systems to solve the secure and trustworthy solution on the confidentiality, integrity, and availability of patient data in healthcare communications.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icaiqsa64000.2024.10882318
Primary Topic
Brain Tumor Detection and Classification
Type
article
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article

Protecting Medical Image Transmission: Color Secret Sharing Protocol for Enhanced Security

U D Prasan, Balajee Maram, T. Aditya Sai Srinivas, Manikonda Srinivasa Sesha Sai et al.
Brain Tumor Detection and Classification
article

Protecting Medical Image Transmission: Color Secret Sharing Protocol for Enhanced Security

U D Prasan, Balajee Maram, T. Aditya Sai Srinivas, Manikonda Srinivasa Sesha Sai, Pamarthi Nagaraju, Malathy Vanniappan
article en

Abstract

The safety in the transmission of medical images cannot be compromised in the digital age, as the information contained is very sensitive. This paper presents a new approach to providing security for medical image transmission using the Color Secret Sharing protocol. This is ensured by the proposed approach of dividing the medical image into many shares, each of which is encoded with independent color information, to ensure that the restoration of the original image can be done only if all the shares are combined. Thus, the risk related to unauthorized access and data breaching is much reduced during the transmission process. Security analysis and experimental validation are provided that demonstrate that the compared methods tend to efficiently resist attacks. This study embeds CSS into medical imaging systems to solve the secure and trustworthy solution on the confidentiality, integrity, and availability of patient data in healthcare communications.

KPR Institute of Engineering and Technology (IN), Aditya Birla (India) (IN)
Openalex Percentile: Top 69%
Brain Tumor Detection and Classification
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