Data Confidentiality Scalability and Accountability (DCSA) in Cloud Computing

This paper aims to achieve data confidentiality scalability and accountability in cloud computing by determining first the security mechanisms required for each data sensitivity level, and which of these security controls may not be supported in certain computing environments, then which solutions can be used to cope with the identified security limitations of cloud computing. Secondly issues such as risks of privacy exposure, scalability in key management, flexible access and efficient user revocation, have remained the most important challenges toward achieving fine-grained, cryptographically enforced data access control. In this paper, we propose a novel patient-centric framework and a suite of mechanisms for data access control to Personal health record (PHR)s stored in semi-trusted servers. To achieve fine-grained and scalable data access control for PHRs, we leverage attribute based encryption (ABE) techniques to encrypt each patient’s PHR file. Finally we propose an approach in which procedural and technical solutions are co designed to demonstrate accountability as a path forward to resolving authority privacy and security risks within the cloud. Keywords— Cloud computing, Confidentiality, Scalability, Accountability.