IDENTIFY AND CLASSIFY CRITICAL SECURITY ISSUES FOR BIG DATA BASED ON CLOUD COMPUTING IN HEALTHCARE ORGANIZATIONS
Cloud computing is becoming increasingly popular in the distributed computing environment every day. Cloud environments are used for data storage and processing. In addition, Big Data based on cloud computing is a new technology in Palestine and generally in the Arab states, research and articles executed mostly for foreign states. Big data implemented and succeed in health organizations and hospitals, but there are several issues faced implementation of Big Data especially in security and privacy, cultural and organizational challenges especially because of political situation in Gaza Strip. The aim of this study is to identify and classify security issues for big data based on cloud computing in healthcare organizations. Further, modelling security issues for big data based on cloud computing in healthcare organizations. The result shows that 25 critical security issues for big data based on cloud computing and classified it to four groups based on architectural, operational, technological, organizational security challenges face the implementation of cloud computing environment for big data. A successful identify security issues for big data based on cloud computing will greatly improve the probability of applied cloud computing in healthcare organizations. In the area of big data based on cloud computing, there is still a clear gap that requires more effort from the research to build in-depth understanding of performance characteristics of big data based on cloud computing. We consider this study a step towards enlarging our knowledge to understand the big data based on cloud computing and provide an effort towards the direction of improving the state of the healthcare and achieving vision on the big data-based cloud computing domain.
Big Data, Cloud Computing,Healthcare Organizations, Security Issue