Steganography based data transmission for disease prediction through image on Optical Networks

Abstract

Steganography is a data hiding technique where text, image or video data is transmitted in a
secure manner. The main aim of this paper is to develop a secure transmission through hiding data in
images on optical communication networks. The steganography technique is used to hide the information
and to communicate a blowfish algorithm implemented cipher data through histogram enhanced image
via optical channel. In this paper, an algorithm called Least Significant Bit (LSB) replacement algorithm
is used hide the secret message within the image and the blowfish algorithms are used to encrypt and
decrypt the message. The performance of the proposed work is evaluated using Mean Square Error
(MSE), Peak Signal to Noise Ratio (PSNR). This can be applied in various medical applications in
predicting diseases like Heart disease, cancer prediction and so on. This may be done by handling huge
data as the technology may grows in recent days. Various learning approaches are also having ability to
compute disease prediction. These approaches are involved in handling huge healthcare data in
healthcare industries.