Incentives for Human Agents to Share Security Information: a Model and an Empirical Test

International audienceIn this paper, we investigate the role of incentives for Security Information Sharing (SIS) between human agents working in institutions. We present an incentive-based SIS system model that is empirically tested with an exclusive dataset. The data was collected with an online questionnaire addressed to all participants of a deployed Information Sharing and Analysis Center (ISAC) that operates in the context of critical infrastructure protection (N=262). SIS is measured with a multidimensional approach (intensity, frequency) and regressed on five specific predicators (reciprocity, value of information, institutional barriers, reputation, trust) that are measured with psychometric scales. We close an important research gap by providing, to the best of our knowledge, the first empirical analysis on previous theoretical work that assumes SIS to be beneficial. Our results show that institutional barriers have a strong influence on our population, i.e., SIS decision makers in Switzerland. This lends support to a better institutional design of ISACs and the formulation of incentive-based policies that can avoid non-cooperative and free-riding behaviours. Both frequency and intensity are influenced by the extent to which decision makers expect to receive valuable information in return for SIS, which supports the econometric structure of our multidimensional model. Finally, our policy recommendations support the view that the effectiveness of mandatory security-breach reporting to authorities is limited. Therefore, we suggest that a conducive and lightly regulated SIS environment – as in Switzerland – with positive reinforcement and indirect suggestions can “nudge” SIS decision makers to adopt a productive sharing behaviour