Homomorphic Encryption Algorithm used in Multi-Format Data in Collaborated Healthcare Multi cloud Computing
Keywords:
Data security; Cloud computing; Fully Homomorphic encryption; AWS; DynamoDB; public cloud EHR; cloud computing; healthcare; security; privacy, Cloud computing, architecture, challenges, cloud platforms, research issues, Telehealthcare; cloud computing infrastructure; security in healthcare, access control, cloud computing, cloud computing security, data segregation, data security, privacy protection.Abstract
Now a day's health care data is growing vastly in the world, this health care data has to be stored and managed in proper format by the health care centers. Most of the work has been done in the area of cloud computing and still more work has to be done. But the main issue in multi cloud computing is providing security to the data. My research proposal is more concentrating on security issues and implementation aspects of security problems for multi-format data in healthcare multi cloud computing. The various security issues related to data security, privacy, confidentiality, integrity and authentication needs to be addressed. Most of the health care data cloud service provider stores the data in heterogeneous text format and user need to use their own encryption algorithm to secure their data if required. The data needs to be decrypted whenever it is to be processed. This paper focuses on storing data on the cloud in the encrypted format using fully homomorphic encryption. The data is stored in DynamoDB of Amazon Web Service (AWS) public cloud. User’s computation is performed on encrypted data in public cloud. When results are required they can be downloaded on client machine. In this scenario users data is never stored in heterogeneous text on public cloud.
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