SECURE CLOUD BASED DATA ANALYTICS WITH RELIABLE PRIVACY PRESERVATION FOR EHEALTH DATA

The drastic and latest enhancement in digital technology has uplifted the healthcare sector by introducing the concept of electronic patient record maintenance. There is enormous volume of information pertaining to healthcare sector which being complex, secured, suitable and responsible for further data processing. That is the electronic health related information needs to be processed and sustained in order to provide enhanced services to the individual's lives. Maintaining and monitoring such healthcare information via digital platform offers a wide spectrum of benefits along with offering resolutions to various hurdles and challenges that is being confronted by this domain. In contrast to data gathered from professional healthcare service providers, data that is composed with the help of cloud from e-healthcare devices is of utmost significance. Though there exist various security threats during sharing of such critical health care information viz misuse or leakage of privacy and access controls. In addition, achieving effective data analysis and services can possibly be tough. Present paper put forth robust cloud-based data analytics for the benefit of ehealthcare mechanism that safeguards privacy and offers reliability. Moreover, the proposed system offers effective reliability and data integrity pertaining to shared ehealth information that resides within cloud storage. Thereafter, by the means of AI (Artificial Intelligence), Data integrity and Traceability can be obtained through privacy-preserving with respect to the shared e-health information within the cloud. The proposed approach offers and assures data privacy, reliability, public audibility, traceability and identity privacy of healthcare data in a cloud environment.