DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-11,Issue-7 ( Jul, 2023 ) | |||||||||
Paper Title |
Privacy Preserving Statistical Computation on Healthcare Data | |||||||||
Author Name |
Robert-Eusebiu Palade, Diana Scurtu, Ionut Tata, Milhem Zaki,Nicolae Goga | |||||||||
Affilition |
||||||||||
Pages |
28-37 | |||||||||
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 | |||||||||
| View Paper | ||||||||||
