Enhanced Digital Data Security By Bio-Inspired And Neural Network Models

Authors: Pawan Singh Rajput, Dr. Devdas Saraswat

Abstract: Cyber threats pose a significant challenge to protecting cloud-based health data, including DNA sequences and patient information. This paper has proposed a model that identify the image pixel region that fit for embedding the secret information. In this pixel region identification done by genetic algorithm. Hence whole image was structured into two cluster first is embedding and other is non-embedding. Least significant bit replacement model is used for the embedding by transforming the image into frequency region. Experiment was done on real health set images and result shows that proposed model has increases the work performance.