Prediction of cybercrime by using euclidean voronoi on persons arrested under cybercrime

Abstract

Cybercrime has many dimensions. Mails sent from one person to another may have much illegal content. Cybercrime has gained recent significance in current situation. Mathematical models have proved to give more accurate results in Cybercrime analysis and prediction. Euclidean distance with Voronoi diagrams is a recent mathematical diagram which is divided into regions based on points in a plane. Thiessen polygons gain popularity in science and technology. This paper finds the solution to analyse data based on persons arrested under cybercrime.