Complex Network of Damage Assessment Using GMM Based FAIR

摘要

With the recent increase in IoT devices, network connectivity devices such as routers or switches are increasing. This increase in equipment could increase the degree of a particular node (hub node or hub router) in terms of network characteristics. In other words, the structure of the network can be changed into a more complicated network form. The convergence of links to these specific nodes provides an opportunity for attackers to enjoy maximum benefit at minimal cost. An attacker can attack only a few hub routers with a high degree of network structure, which can paralyze networks in some areas. This possibility is because the actual network follows the power degree distribution. These research measures threats based on network characteristics and data on exploits of network equipment. The threat measurement is applied to the FAIR(Factor Analysis of Information Risk) model, and the damage caused by the macro network structure is assessed.