A DSS for a Bank Risk Abalysis

Jean-Baptiste Rakotoarivelo (1, 2) , Pascale Zaraté (3, 4) , Philippe Viguié (5) , Marc Kilgour (6) , Michel Février (5)

1 Université de Toamasina
2 IRIT-PYRAMIDE - Optimisation Dynamique de Requêtes Réparties à grande échelle
3 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
4 UT Capitole - Université Toulouse Capitole
5 Caisse d'Epargne de Midi-Pyrénées – CEMP (Toulouse, France)
6 WLU - Wilfrid Laurier University

This article was designed to analyze different policy securing information inherent in bank or financial institutions information systems. The work is based on the development of DSS for the identification and prioritization of risks for Information System. The goal of this system is to support a decision maker by reducing the risks and intrinsic errors in the information related to the financial sector activities system. The proposed DSS is based and the AHP1 methodology. This method supports each manager to the choice of a specific decision in the development of management to demonstrate the organizational capacity to significantly reduce the losses associated with security vulnerabilities of information systems.

Mots clés: Banking risks; Information systems; Bank security; DSS; AHP

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Jean-Baptiste Rakotoarivelo, Pascale Zaraté, Philippe Viguié, Marc Kilgour, Michel Février. A DSS for a Bank Risk Abalysis. 3rd International Conference on Decision Support Systems Technologies (ICDSST 2017), May 2017, Namur, Belgium. pp. 147-152. ⟨hal-01873729⟩