DefinePK

Abstract

In this paper, we address the problem of searching data in a group of encrypted data which is hosted by cloud. Cloud computing allows us to make data available online through the internet. Cloud computing is a concept where servers are connected to the internet and allowed for access to the public or private person using interconnected network. This, although a very good feature, does not provide privacy. There are risks of data being stolen or edited without the authorization of the owner. This in turn leads to security risks. If the data is encrypted using an encryption algorithm, it is hard to search the content for a specific data. The search capacity has to be compromised for the sake of security. This problem of searching encrypted data has been overcome by the usage of FMS. There are three references that we can take from already existing technological contributions. First, the usage of preference factor in cloud computing to give a neat UI experience for the customer or user who tries to search for a data in our search work. Second, the usage of logical operations inside the encrypted data in order improves speed and reduces size. Finally the concept of trapdoor has been taken from previous original contributions, which serves as the search methodology in a real-world dataset for ensuring privacy in search. This method is used to improve the overall accuracy and efficiency of the search and functional ability of the code.