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Private similarity searchable encryption for Euclidean distance | IEEE Conference Publication | IEEE Xplore

Private similarity searchable encryption for Euclidean distance


Abstract:

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 ...Show More

Abstract:

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.. 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.
Date of Conference: 30 October 2016 - 02 November 2016
Date Added to IEEE Xplore: 06 February 2017
ISBN Information:
Conference Location: Monterey, CA, USA

References

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