1-5
Neural Network Based Secured Transmission of Medical Images with Burrow’s- Wheeler Transform
Authors: Dr. M. Ramakrishnan, R. Sujatha
Number of views: 552
ABSTRACT
Cryptography is basically essential for protecting sensitive information as the importance of security and the privacy of it has become crucial in this electronic world with the advent of online transaction and processing e-commerce. Nowadays security of digital images is a major area of concern, especially when we deal with medical images where it may be stored or sent through insecure communication channels. In this paper we propose to make use of neural networks which has fewer overheads and also requires fewer computations. The key used here is complex so that undesirable sources will not be able to access it. Thereby we generate the key using neural network. Using the encryption algorithm such as blowfish, we encrypt the image. The encrypted image is compressed with the help of burrow’s-wheeler transform which is a lossless compression. And then this compressed secured information is successfully transmitted. In this paper we obtain the results by simulation using MATLAB.
Keywords — Cryptography, Neural network, Blowfish Algorithm, Burrow’s-Wheeler Transform