Authorized Assistable Privacy Model for Healthcare Using ABBE Algorithm

In distributed m-healthcare cloud computing system, only the authorized physicians or institutions that can recover the patient's personal information during data sharing. Most patients are concerned about the confidentiality of their personal health information since it is likely to make them in trouble for each kind of unauthorized collection and disclosure. Distributed m-healthcare systems support for efficient patient treatment of high quality, but it brings about series of challenges in personal health information confidentiality and patient's identity privacy. Many existing data access control and anonymous authentication schemes inefficient in distributed m- healthcare systems. To solve this problem an Authorized accessible privacy model (AAPM) using ABBE algorithm which provides secure storage and control sharing of patient health data has been proposed. In this method, it explores broadcasting attribute based encryption as well as multi authority attribute based encryption to enforce patient access control policy, such that public user can download the data but only authorize user should view the medical records. This supports multiple owner scenarios and divides the users in the system into multiple security domains that greatly reduce the key management complexity for owners and users