Enhancing Healthcare Imaging Security: Color Secret Sharing Protocol for the Secure Transmission of Medical Images Suresh Sankaranarayanan, Prema Bhushan Sahane, Maheshwari Divate, A. John Blesswin, G. Selva Mary, A. Catherine Esther Karunya, Pascal Lorenz IEEE Access, 2024 Healthcare has seen extensive use of internet technology for the transmission of electronic healthcare records among healthcare professionals and patients for diagnosis and treatment. Now with the advent of digital and internet technology, multimedia data also be transmitted in the form of images, and videos which include X-rays, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and so forth. It is direly important to secure these medical images which are transmitted digitally among healthcare professionals and patients. Visual Cryptography (VC) comes as a solution for encrypting and securing these multimedia data for transmission. The process of VC involves dividing the original Secret Color Image into Shares and distributing them to the intended recipients. These shares are then combined, either physically or digitally, at the receiving end to reveal the original multimedia content. VC faces three main challenges which are the quality of reconstructed images, pixel expansion, and computational complexity. So, we in research developed a novel approach called Color Secret Sharing Protocol (CSSP) for the secure transmission of individual secret images within multimedia systems. The newly proposed protocol which is CSSP is been validated on sample medical images using MATLAB where the reconstructed image quality is improved by up to 1.345% compared to other existing methods. CSSP enhances multimedia security by utilizing cover images and simultaneously reducing complexity, effectively addressing pixel expansion within the context of multimedia transmission.
Error-induced inverse pixel visual cryptography for secure QR code communication John Blesswin, Selva Mary, T. Gobinath, Maheshwari Divate, Catherine Esther Karunya A., Alfiya Abid Shahbad, Deepak Patil, Shibani Raju S. Journal of Autonomous Intelligence, 2024 <p>The rapid proliferation of Quick Response (QR) codes in various applications, particularly in sensitive domains like banking and financial transactions, necessitates robust data protection measures. Visual cryptography techniques are used to encode confidential information into multiple shares called shadows, which are communicated to the receivers. The receiving side decodes the shadows by stacking them together physically or digitally. In this research, an innovative solution titled “Error-induced inverse pixel visual cryptography (EIIPVC) for secure QR code communication” is proposed to enhance the security. The proposed EIIPVC leverages complementary shadows and introduces controlled errors during the sharing process. This feature makes it exceedingly challenging for potential malpractice to access or tamper with the data, ensuring a higher level of security. In this research, a single grayscale secret source (GSS) image in the form of QR code is used. This research also contributes to improving traditional issues, such as the quality of the reconstructed image and pixel expansion. The experimental results demonstrate that the EIIPVC approach significantly ensures enhanced security, safeguarding the transmitted data against potential attacks. The quality of the reconstructed image is improved by minimizing the mean square error (MSE) value up to 5%, indicating its superiority in preserving the visual clarity.</p>
