Abstract:
Privacy-preserving license plate matching is a special case of private set intersection where the intersection result is known to only one entity. Most of the existing pr...Show MoreMetadata
Abstract:
Privacy-preserving license plate matching is a special case of private set intersection where the intersection result is known to only one entity. Most of the existing private license plate matching protocols rely on public key based homomorphic encryption. We propose a fast protocol for computing Hamming distance between license plates privately using symmetric homomorphic encryption. We practically analyse and compare the performance of our protocol with previous protocols which use Paillier cryptosystem.
Published in: 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
Date of Conference: 16-19 December 2018
Date Added to IEEE Xplore: 09 May 2019
ISBN Information: