Cyber Insurance Ratemaking: A Graph Mining Approach

Cyber insurance ratemaking (CIRM) is a procedure used to set rates (or prices) for cyber products provided by companies. Rate estimation critical issue products. This problem arises because of the unavailability actuarial data and uncertainty normative standards risk. Most risk analyses do not consider connection between Information Communication Technology (ICT) sources. Recently, model was developed that considered network structure. However, analysis this remains limited an unweighted network. To address issue, we propose using graph mining approach (GMA) CIRM, which can be applied obtain fair competitive prices based on weighted characteristics. study differs from previous studies in it adds GMA CIRM uses communication models explain frequency communications as weights We heterogeneous generalized susceptible-infectious-susceptible accommodate different infection rates. Our up existing method considers CIRM. results premiums. Additionally, choose more active reflect high contribution premiums or found when are same. Based our experimental results, apparent produce reasonable than other methods. The obtained with factors lower those without factors.