Smart Security by Predicting Future Crime with GIS and LBS Technology on Mobile Device

Today's biggest concern is the safety and security of peoples specially women, children and old age persons [4]. Peoples feel unsafe as the crime rate has increased very rapidly. Crime are recorded and investigated on the basis of FIR [2]. This traditional method does not able to predict which type of crime is going to occur in future. As compared 20th century, now Mobile Phone users have increased and services like Location Based Service (LBS) is common now a days. Apart from traditional LBS new technology like GIS i. e. Geographic Information System are used for collecting information of different areas. After collection this data, it is used for analysis and predicting purpose. Decision tree algorithm is used for the classification of criminal data obtain from different state police stations. As the data is classified then frequent crime pattern can be clustered and shown on the user smart phone using GIS [7]. Nowadays security of woman's is at the stake in our country, this application will include Security alert facility for the woman's or the user which is using the app. If the user current location is in the dense crime cluster then his/her location information is send to the nearest police station or near-by friends [8]. System will be implemented using client server architecture where Android phone will act as client and MYSQL database will be used as server.