Asian Journal of Engineering and Technology Innovation

Security for EMV Card Data in Payment Systems

Satish Kabade,and Meenakshi Sundaram

Reva Institute of Technology and Management, Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Near Border Security Bustop, Bengaluru, Karnataka-560064, India.

Abstract

The remote senses generate very large amount of real time data from the Satellite or from the Aircraft with the help of the sensors. Now a day there is a great demand added to the real time big data for remote sensing applications, these data has to be processed and extract the useful information can lead to computational challenges. From these above mentioned factor need to design an architecture that can supports both offline as well as the real time data. In this paper we will discuss the proposed architecture for the remote sensing application. The three main units comprises the proposed architecture the three units are First, Remote sensing data acquisition unit (RSDU) takes the data from the satellite and sends to the Base Station, where processing starts in this unit. Second, Data processing unit (DPU) is the main role in the architecture, the real time data will process efficiently by filtering, load balancing and parallel processing and Third, Data Analysis and Decision unit (DADU) this unit is responsible for the storing the results and generates the decision based on the results of the data processing unit. The proposed architecture can store raw data for the analysis of the offline data when required.

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