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In this paper, we propose a similarity searchable encryption in the symmetric key setting for Euclidean distance, by extending the functional encryption scheme for inner product proposed by Bishop et al. [2]. Our scheme performs predeter­mined encoding independently of vectors x and y, and it obtains the Euclidean distance between the two vectors while they remain encrypted.

Private Similarity Searchable Encryption for Euclidean Distance