Privacy Preserving Multi Keyword Search Using Cosine Similarity in Cloud

Abstract

Cloud Computing is a mature model of IT infrastructure that provides on demand high quality applications and services from a shared pool of computing resources. It becomes an increasingly popular for data owners to outsource their data to public cloud servers and also allowing data users to retrieve this data. For privacy concerns, secure searches over encrypted cloud data has motivated several research works under the single owner model. However, most cloud servers in practice do not just serve one owner instead, they support multiple owners to share the benefits brought by cloud computing. The proposed scheme is to deal with multiple data owners to store their sensitive information securely in cloud and to allow data users to retrieve data through multiple keywords. To enable cloud servers to perform secure search without knowing the actual data of both keywords and outsourced data, systematically construct a novel secure search protocol using cosine similarity approach.