Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing

Computer Engineering

Cloud computing has become increasingly popular for data owners to outsourcing their data in public cloud and also permits other users to fetch this data. With the advantage of flexibility and economic savings motivates both individuals and organizations to outsource their private complex data management system into the cloud. However, in reality cloud does not support only one or two user instead they supports millions of users and hence privacy issues of data is incurred. We are analyzing the schemes to deal with Privacy preserving Ranked Multi-keyword Search in a Multi-owner model (PRMSM). According to our analysis this scheme perform secure search without knowing the actual data of both keywords and trapdoors. For that we are going to develop secure search protocol. In this paper we are proposing a novel Additive Order and Privacy Preserving Function family to protect the legal data from the attackers. Furthermore, our proposed PRMSM supports efficient data user revocation.

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