A FHE Algorithm used in Multi-Format Data in Collaborated Multi cloud Computing

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. The encryption of remotely stored data has been the most widely used technique to bridge this security gap. The speculated vast usage of Cloud Computing solutions for data storage and with Big Data Analytics gaining strong foothold; the security on cloud is still at big risk. Fully Homomorphism Encryption is a good basis to enhance the security measures of un-trusted systems or applications that stores and manipulates sensitive data. The model is proposed on cloud computing which accepts encrypted inputs and then performs blind processing to satisfy the user query without being aware of its content, whereby the retrieved encrypted data can only be decrypted by the user who initiates the request. This allows clients to rely on the services offered by remote applications without risking their privacy.