Healthcare and disease detection in early stage is important in every human being. Proper and optimum detection of disease with smart controller is done using Particle swarm optimization (PSO) and Support Vector Machine (SVM). The research includes the Fuzzy Proportional Integral and Derivative (Fuzzy PID) controller was used with support vector machine to classify the heart disease. Particle Swarm Optimization is designed to remove the noise introduced in Electrocardiogram signal. Fuzzy PID controller was implemented for disease detection and prediction. Fuzzy PID controller provides most accurate and stable results.

The most important thing in this insecure world is the secrecy of everything. In today’s world, any important data costs more than money. Steganography is the technique in which one can hide data as a secrete in selected image. In case of spatial domain, LSB approach is most popular in steganography, where all the LSBs of pixels of image are replaced by the bits of secret data. But the problem is that the secrete can be easily guessed by the hacker and the data is obtained by extracting it from direct LSBs. To make the system more robust and to improve the signal to noise ratio, the conventional LSB insertion method is replaced by inverted LSB technic. The decision to invert or not the LSB depends on combination of the 2nd and 3rd LSB. As not each and every LSB is inverted, it makes the steganalysis very difficult.