Binary binomial tree based secure and efficient electronic healthcare record storage in cloud environment

Abstract

Electronic Health Records (EHRs) is a key form of healthcare records that attracts a great deal of attention. It is regarded that the sharing of healthcare records is a vital strategy for improving the quality of healthcare services and reducing medical expenses. Presently, the cloud computing paradigm supports many significant characteristics in Electronics Health Records (EHRs). However, in the cloud model, the patients have no longer control over their crucial healthcare records after outsourcing the records to cloud servers, which can lead to severe data integrity related concerns. Therefore, in this manuscript, we introduce a novel secure and efficient cloud based EHR data storage system by constructing Binary Binomial Tree like data structure. Furthermore, we extend the proposed model to attain significant cloud model based public auditing characteristics such as data dynamics, batch auditing, privacy preserving, blockless verification, data traceability, and recoverability. Extensive experiments and results demonstrate that the proposed cloud based EHR system is secure and efficient over other existing strategies.