K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction



Coenen, FP, Almutairi, and Dures, K
(2017) K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction. In: 19th International Conference on Big Data Analytics and Knowledge Discovery, 2017-08-28 - 2017-05-31, Lyon, France.

[img] Text
Clustering Using HE and UDM.pdf - Accepted Version

Download (376kB)
Item Type: Conference or Workshop Item
Depositing User: Symplectic Admin
Date Deposited: 01 Jun 2017 15:26
Last Modified: 07 Mar 2019 20:10
URI: http://livrepository.liverpool.ac.uk/id/eprint/3007773
Repository Staff Access