Geeta Tiwari

Every age has had security issues spurred on by the era, as was the case in many parts of the unusual & extraordinary suffered communication challenges & these issues have persisted. Today's problems are getting worse & worse by an exponential rate. With the advancement of technology, many pieces of information (photographs, films & voice recordings) that ought to be kept private for the benefit of an individual or society have reached their limitations. Our goal is to suggest chat programmers with end-to-end encryption so that users may safely transmit sensitive information.

Today cancer is spreading heavily and become the most dangerous disease in the world. This disease causes death if not diagnoses before the major stage. Small changes or illness in the human body may transform to the cancer in the body. The main thing in this disease is that it is not easily detected in its earlier stage. So this causes the aim to design a computer operated system that can make distinguish between benign (non-cancerous) and malignant (cancerous) mammogram. The proposed system helps doctors to increase the diagnosis accuracy. The above propose system shall be simulated by MATLAB. The ART 1.0 algorithm shall be studied and modified to improve the accuracy of existing ART 1.0 system. The simulation shall be done by obtaining cancer data set from UCI repository. The reason behind choosing ART algorithm because of its characteristic to work on three phases i.e., Recognition, Comparison, Search Phase. The winning neuron is obtained by finding the dot product of input and weight vector. The neuron having largest dot product be the winner.