Abstract

Abstract Phrase search enables relevant documents retrieval of an exact phrase in many cloud-based IoT machine learning applications to safeguard information from leakage. Here the documents are checked by the data proprietors before being exported to the cloud, rendering the search process a difficult job. Multi-keyword search evolving searchable encryption algorithms unable to establish the position association of phrases on the remote server in a parsed phrase over encrypted data. In this paper, an efficient privacy-preserving phrase search is introduced to protect users’ search patterns; a probabilistic phrase recognition algorithm is also used. The proposed work demonstrates the security of real-world datasets and compared with existing multi-keyword search schemes to show the better matched documents with moderate overheads.

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