A Game-Theoretic Formulation of Security Investment Decisions under Ex-ante Regulation - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2012

A Game-Theoretic Formulation of Security Investment Decisions under Ex-ante Regulation

Résumé

Data breaches represents a major source of worries (and economic losses) for customers and service providers. We introduce a data breach model that recognizes that breaches can take place on the customer’s premises as well as on the service provider’s side, but the customer bears the economic loss. In order to induce the service provider into investing in security, a regulatory policy that apportions the money loss between the customer and the service provider is introduced. A game-theoretic formulation is given for the strategic interaction to the customer and the service provider, where the former sets the amount of personal information it releases and the latter decides how much to invest in security. The game’s outcome shows that shifting the burden of the money loss due to data breaches towards the service provider spurs its investment in security (though up to moderate levels) and leads the customer to be more confident, but the apportionment must not be too unbalanced for a Nash equilibrium to exist. On the other hand, changes in the probability of data breach of both sides do not affect significantly the service provider’s behaviour, but cause heavy consequences on the customer’s confidence.
Fichier principal
Vignette du fichier
978-3-642-30436-1_34_Chapter.pdf (391.92 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01518258 , version 1 (04-05-2017)

Licence

Identifiants

Citer

Giuseppe D’acquisto, Marta Flamini, Maurizio Naldi. A Game-Theoretic Formulation of Security Investment Decisions under Ex-ante Regulation. 27th Information Security and Privacy Conference (SEC), Jun 2012, Heraklion, Crete, Greece. pp.412-423, ⟨10.1007/978-3-642-30436-1_34⟩. ⟨hal-01518258⟩
237 Consultations
99 Téléchargements

Altmetric

Partager

More