Chaotic Map Based Encryption Algorithm for Secured Medical Data Analytics

Security is the primary issue when sending medical data. Due to their extreme sensitivity, medical images need to be encrypted. A few methods for securing images include encryption, digital fingerprinting, and watermarking. When transmitting patient data and medical images over public networks, the privacy of those images is a significant concern. This study suggests using new encryption to protect medical information before they are sent over a network or kept in the cloud. By employing this technique, one of the essential security requirements confidentiality is upheld while preventing unauthorized access to such photos. This technique utilizes a secret key extracted from the image and an encryption technique based on pixel mixing. The suggested method uses Hahn's discrete orthogonal moments to elicit the feature vector from the biosignal. Exploiting the patient data, secluded the collected feature vectors are then employed to generate a QR code. The latter while being encrypted with a two-dimensional adaptation of the modified chaotic logistic map. In this post mentioned, we will review various encryption and decryption techniques and compare how rapidly they can encrypt and decrypt data of distinct quantities.