A two-dimension security assessing model for CMDs combined with Generalized Stochastic Petri net

Abstract

Cyber mimic defenses have recently emerged as a dynamic heterogeneity redundancy architecture, which adjust the asymmetry between defenders and attackers by reconfiguring the system according to the network scenario. Some studies have investigated the effectiveness of security models, however, there is still a lack of convincing and practical methods to assess CMD networks quantitatively. Thus, in this paper, we propose a two-dimension model that calculates those details as a digital result to compare different CMD networks. In addition, the proposed method demonstrates good scalability in different networks. Specifically, in the first dimension, i.e., attacking a single node, we elaborate on system configurations and employ the Generalized Stochastic Petri net model to capture the effectiveness of different behaviors from gamers. To quantify the impacts of those behaviors, we parameterized them using a Poisson process, common vulnerabilities and exposures, and the common vulnerability scoring system. In the second dimension, we adopt Markov chains and the Martingale theory to analyze the attack process along the attack chain. Finally, security metrics and countermeasures under different scenarios are presented to verify the effectiveness of CMD, which provides some guidance for designing future systems with acceptable cost.