International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 6 Issue: 1 27 – 30 _______________________________________________________________________________________________ 27 IJRITCC | January 2018, Available @ http://www.ijritcc.org _______________________________________________________________________________________ A Survey on Implementation of Homomorphic Encryption Scheme in Cloud based Medical Analytical System Mr.Rajesh S. Raut #1 , Prof. P. B. Sambhare *2 , Prof. C. J. Shelke #3 # Department of Computer Science and Engineering, P. R. Pote College of engineering, Amravati, Maharashtra, India 1 rraut64@gmail.com 2 sambharepraful832@gmail.com 3 chetanshelke7@gmail.com Abstract— The privacy of sensitive personal information is more and more important topic as a result of the increased availability of cloud services. These privacy issues arise due to the legitimate concern of a) having a security breach on these cloud servers or b) the leakage of this sensitive information due to an honest but curious individual at the cloud service provider. Standard encryption schemes try to address the first concern by devising encryption schemes that are harder to break, yet they don’t solve the possible misuse of this sensitive d ata by the cloud service providers. Homomorphic encryption presents a tool that can solve both types of privacy concerns. The clients are given the possibility of encrypting their sensitive information before sending it to the cloud. The cloud will then compute over their encrypted data without the need for the decryption key. By using homomorphic encryption, servers guarantee to the clients that their valuable information to have no problems after being in a difficult situation.. Keywords- Cloud Services, Homomorphic Encryption,cloud computing,Access control,security. __________________________________________________*****_________________________________________________ I. INTRODUCTION The term "cloud" originates from the world of telecommunications when providers began using virtual private network (VPN) services for data communications. The definition of cloud computing provided by National Institute of Standards and Technology (NIST) says that: "Cloud computing is a model for enabling convenient, on demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage applications and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. In cloud computing there is no need to store the data on desktops, portables etc. You can store the data on servers and you can access the data through internet. Cloud computing provides better utilization of distributed resources over a large data and they can access remotely through the internet. Homomorphic encryption presents a tool that can solve problem of privacy concerns. The clients are given the possibility of encrypting their sensitive information before sending it to the cloud. The cloud will then compute over their encrypted data without the need for the decryption key. Homomorphic encryption can be used to encrypt the data measured by wearable and portable medical devices to uploading them on cloud and make available to use by authorized user for the various applications. II. EXISTING SYSTEM AND THEIR LIMITATIONS In [1] Aderonke Ikuomola, O. O. uses Homomorphic Encryption to secure patients medical records and Bilayer Access Control to gives access right to the records and developed a Secured e-Health System called SECHA. SECHA comprises of five basic components namely; patient, PHR/object, Access Control Module, User/Subject and Cloud. A cloud based patient privacy system has been presented. PHR is stored in the cloud, and can be accessed through a web portal by multiple owners and users. The security and privacy of health-data break in variety of ways. For example, health data may be susceptible to access by unauthorized external entities when stored or is in transit from a general practitioner to a remote medical specialist. In [2] Ciara Moore, M. O. proposed the use of graphics processing units (GPUs) and field programmable gate arrays (FPGAs) for implementations of homomorphic encryption schemes. This review presents the current state of the art in this promising new area of research and highlights the interesting remaining open problems. Practical FHE implementations, further research into suitable hardware designs and optimizations of existing schemes could provide a large speed up. One major bottleneck in the implementation of these schemes is memory storage Large parameter sizes and very large cipher text sizes consume large amounts of memory, which requires memory management. Lastly, optimizations to target specific devices, such as using the embedded multipliers on an FPGA, are required.