With the Emergence of cloud computing, it has become increasingly admire for data owners to outsource their data to public cloud servers while allowing data users to retrieve this data. For privacy concerns, authenticated secure searches over encrypted cloud data have motivated several research works under the single owner model. Although, most of the cloud servers in real time practice do not just serve one data owner instead, they support multiple data owners to share the application and benefits brought by cloud computing. This paper presents different schemes to deal with Privacy preserving Ranked Multi-keyword Search in a Multi-owner model (PRMSM). To permit authorization to cloud servers to perform secure search without knowing the actual data of keywords and trapdoors, unauthorized user we systematically construct a novel secure search protocol. To provide the count of generate number of rank to search results and preserve the privacy of relevance scores between keywords and files, we propose a novel Additive Order and Privacy Preserving Function family. To intercept the unauthorized attackers from eavesdropping secret keys and pretending to be legal data users submitting searches, we propose a novel dynamic secret key generation protocol and a new data user authentication protocol. Furthermore, PRMSM supports efficient data user revocation. The real world extensive experiments on datasets confirm the efficacy and efficiency of PRMSM.
Privacy preserving Ranked Multi-keyword Search in a Multi-owner model (PRMSM), Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS), Searchable symmetric encryption (SSE)
