Title: Privacy information in a positive credit system

Authors: Marcelo Luiz Brocardo; Carlos Roberto De Rolt; Julio Da Silva Dias; Ricardo Felipe Custodio; Issa Traore

Addresses: Faculty of Administration and Economic Science (ESAG), Santa Catarina State University (UDESC), Florianopolis, Santa Catarina, Brazil ' Faculty of Administration and Economic Science (ESAG), Santa Catarina State University (UDESC), Florianopolis, Santa Catarina, Brazil ' Faculty of Administration and Economic Science (ESAG), Santa Catarina State University (UDESC), Florianopolis, Santa Catarina, Brazil ' Department of Informatics and Statistics (INE), Federal University of Santa Catarina (UFSC), Florianopolis, Santa Catarina, Brazil ' Department of Electrical and Computer Engineering, University of Victoria (UVIC), Victoria, British Columbia, Canada

Abstract: A positive credit history and rating help consumers with good payment history to get lower interest rates, greater flexibility for credit, as well as loans with longer payment terms. In order to establish credit profiles, there is a need to get information (e.g. spending patterns) from the consumers and from the companies that are selling related goods. The problem is how to share private information about customers and companies without compromising the secrecy and confidentiality of such information. In this work, we propose a cryptographic protocol to share sensitive information while preserving the privacy of the customer as well as the information of the commercial institution. Furthermore, we analyse the proposed protocol by using Petri nets to verify the absence of livelocks, deadlocks, and other anomalies in the protocol.

Keywords: positive credit history; authentication; network security; cryptographic protocols; credit rating analysis; privacy information; credit profiles; cryptography; sensitive information; privacy preservation; privacy protection; Petri nets.

DOI: 10.1504/IJGUC.2017.082136

International Journal of Grid and Utility Computing, 2017 Vol.8 No.1, pp.61 - 69

Received: 15 Oct 2015
Accepted: 15 Jan 2016
Published online: 08 Feb 2017 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article