Paper Title :Privacy Preserving Statistical Computation on Healthcare Data
Author :Robert-Eusebiu Palade, Diana Scurtu, Ionut Tata, Milhem Zaki,Nicolae Goga
Article Citation :Robert-Eusebiu Palade ,Diana Scurtu ,Ionut Tata ,Milhem Zaki ,Nicolae Goga ,
(2023 ) " Privacy Preserving Statistical Computation on Healthcare Data " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 28-37,
Volume-11,Issue-7
Abstract : In the following paper it is presented a medical application that manipulates healthcare data while ensuring
privacy preservation. There are also presented different solutions that can be used for computing privacy-preserving
statistics, including homomorphic encryption or secure multi-party computation, which we'll detail further. We implement
one of the presented solutions in our application. The algorithm that we have chosen to implement is called Paillier
cryptosystem and it is a partially homomorphic encryption scheme.
Keywords: privacy preserving statistics, homomorphic encryption, data privacy, partially homomorphic encryption, Paillier,
secure multi-party computation
Type : Research paper
Published : Volume-11,Issue-7
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-19981
View Here
Copyright: © Institute of Research and Journals
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Published on 2023-11-09 |
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