SECURE ANALYSIS OF SENSOR DATA IN BIG-DATA PLATFORM FOR GEO-SOCIAL NETWORK

Abstract

: Geosocial Network information can be provided as service for the users to take decisions for the events that occurs in the real-world like earth quakes, bombblast, and fire and also other events occurred in the different places in the world. After analyzing the data the user can able to take decisions for the real-time to predict for the future which are the places that will be affected by the particular events.We propose a system that should be able to handle the data generated by the different sensors in a secure manner the data sent by the sensors will be stored in the encrypted format in the Geo-social network. When the user is searching for the particular event that occurred the user need to decrypt the data before using the information . Twitter is analyzed using the proposed system to recognize the events like earth quakes, fire, Bomb related data. We are using the Hadoop system for analysis of the big-data generating by the different sensors.