A Persuasive Rabbit Algorithm Enhanced with Map Reduce Security Mechanism for ECG Data Security in Cloud Storage

Abstract

The present trend of adopting big data technologies in medical sectors, to digitize their workflow by moving electronic records of their patients becomes an architype shift in the field of healthcare. As there is a continuous growth in quantity of clinical data storage and it is easily adopted using big data, still they have challenges and barriers while maintaining sensitive health information in cloud computing. There arises the necessity of providing strong prevent measures against security breaches by developing Persuasive encryption security schemes to protect from invaders. There are many encryption models are already available but implementing them increases the computation complexity, time complexity and resource utilization is also very high. To overcome this issue, in this paper a Persuasive Rabbit algorithm enhanced by MapReduce based Encryption is developed to preserve the ECG data stored in cloud. This proposed model is a light weight cryptographic model which uses very limited resources, shares very less memory and the computation as well as time taken is also very less compared to the other conventional encryption scheme. Thus, the proposed MapReduce + Rabbit algorithm provides security at high level against any kind of security breaches. The ECG Big data is effectively handled by the MapReduce and it performs the encryption in parallel manner to assure the shortest processing time. The simulation results evidence the performance of the proposed algorithm is superior in time consuming, accurate validation and provide better performance than the traditional algorithms.