Privacy preservation in vertical partitioned medical database in the cloud environments

Abstract

In this paper we introduced the concept of cloud computing with the help of secure multi party computation, secure multi party computation play a very crucial role in the field of distributed database where the number of parties or resources is greater than or equal to two. In secure multi party computation each party will calculate their common function and send to the next party present in the database environments. Secure multi party computation is used to increases the performance and efficiency. Cloud computing is new emerging technology in the field of information and communication technology. Which will use the high speed infrastructure and services provided by the cloud service provider? In this paper we implement and study the concept of the vertical partitioned resource database in the cloud environments. Where every party contains their own private resources and wants to communicate with each other without disclosing their private information to the other resources present in the secure multi party cloud based environment.

A novel data storage logic in the cloud

“…Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. This is specially true for medical databases 1 , 2 . One major downside of these data is that information on multiple occurrences of an illness in the same individual cannot be connected 1 , 3 , 4 .…”

A novel data storage logic in the cloud

“…Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. This is specially true for medical databases 1,2 . One major downside of these data is that information on multiple occurrences of an illness in the same individual cannot be connected 1,3,4 .…”

A novel data storage logic in the cloud

“…This is specially true for medical databases 1,2 . One major downside of these data is that information on multiple occurrences of an illness in the same individual cannot be connected 1,3,4 .…”