Highly Empowered Multi Objective Based Enhanced ECG Data Security Framework In Cloud Computing

Abstract

newline xv newlineABSTRACT newlineBig data in the field of healthcare undergoes many evaluations during recent newlineyears. The contribution of big data plays a major role in many improvements in different newlineareas of computer science. The growth in technology not only improves the methodology newlinein classifying and analyzing big data, it also gives a significant chance for hackers to loot newlineenormous important and confidential data. Many healthcare sectors and doctors who newlinetreats this serious problem and makes proactive ideas in preventing the attacks. The newlinemedical data obtained in such a manner should be prevented with necessary security newlinemeasures. The researches contribution in big data analyses plays a vital role in increasing newlinethe privacy settings in the field of healthcare. newlineThe work focuses in implementing the bigdata analyses strategy in categorizing newlinethe testing data and implementing the proposed algorithms in improving the security of newlinehealthcare data. The basic idea of the research works starts from preprocessing of newlinecollected data and identifying of necessary features from the collected data set. The newlinefurther step is to set the rules in obtaining the patterns of data and finally the proposed newlinealgorithms are tested for security concern. newlineThe main focus of the research work is to deal with ECG signals extraction newlineprocess and analyzing using classification with different proposed models. The research newlinework explains a different strategy in classifying the presence or absence of arrhythmia in newlineelectrocardiogram (ECG) signals. The gradient boosting random forest tree is used for newlinefeature subset selection, with the obtained feature set of classification using Robust newlineConvolutional Neural Network (RCNN). RCNN is comprised with several layers, it newlineperforms the convolutional computation on the reduced feature set instead of using entire newlinefeatures to classify the ECG signals as normal or abnormal. It also helps in preserving newlinedata integrity and confidentiality of ECG big data stored in Cloud. newlineThe proposed Biometric enhanced Paillier Crypto System (BPCS)