Title :
Sharing Privacy Information in Credit Analysis Environment
Author :
Luiz Brocardo, Marcelo ; Custodio, Ricardo Felipe ; De Rolt, Carlos Roberto ; Da Silva Dias, Julio ; Traore, Issa
Author_Institution :
Dept. de Inf. e Estatistica, Fed. Univ. of Santa Catarina - UFSC, Florianopolis, Brazil
Abstract :
Credit analysis is used by financial companies to grant credit to customers. The analysis is expensive, bureaucratic, and requires the collection of customer personal information. However, shopping malls are selling goods in several installments and need a simple, fast, and cheap process to grant credit to their customers. One way to improve the efficiency of this process is to facilitate the sharing of private information from customers and stores. The challenge here is how to share private information without disclosing the identity of its owner. Here we propose a protocol to share information while preserving the privacy of the customer as well as the information of the commercial institution.
Keywords :
data privacy; financial data processing; commercial institution; credit analysis environment; customer personal information; customer privacy; financial companies; private information; protocol; sharing privacy information; shopping malls; Authentication; Companies; Privacy; Protocols; Public key; Authentication; computer network security; credit rating analysis; cryptographic protocols; privacy;
Conference_Titel :
Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
Conference_Location :
Blumenau
Print_ISBN :
978-1-4799-8869-3
DOI :
10.1109/CISIS.2015.72