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Gupta et al. [60] proposed a segmentation algorithm based on homomorphic filtering and K-means clustering.
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We propose a privacy-preserving site survey scheme for WiFi fingerprint-based localization based on homomorphic encryption and differential privacy model.
Erkin et al. [10] proposed a collaborative filtering-based recommender system which uses efficient protocols based on homomorphic encryption and secure multiparty communication.
Together, these improvements increase the overall efficiency of the comparison protocol with encrypted inputs, bringing smart meters one step closer to run privacy-preserving cryptographic protocols based on homomorphic encryption.
IARPA is in the late phase of developing a database query system based on homomorphic encryption.
By doing so, we improve the efficiency of the state-of-the-art secure comparison protocol based on homomorphic encryption.
We cast this process as a secure multiparty computation problem and develop a novel protocol based on homomorphic encryption.
Similar to the average computation, this protocol is also based on homomorphic properties of public key cryptosystem.
This result, which can be improved further on a real system, encourages the deployment of privacy-preserving K-means clustering algorithms based on homomorphic encryption.
In [9], the authors design a sealed-bid first-price auction scheme based on homomorphic encryption, in which the server processes the bidder's encrypted bids using homomorphic encryption and the aggregation result is known by auctioneer; however, the scheme cannot resist the collusion activity between the server and auctioneer.
Under this scheme, all the suppliers involved in the site survey form a group and they cooperate with each other to hide their measurements from the service provider based on homomorphic encryption.
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