Performance Modeling Based on GSPN and Markov for Cyberspace Mimic Defense System

Cyberspace mimic defense (CMD) aims to construct a new controllable and trusted system. It integrates the characteristics of heterogeneous redundant system and robust control system, achieving the security defense and warning capacity of control system. This paper adopts generalized stochastic Petri nets (GSPN) to describe system's architectures and analyze the availability and awareness security of the Cyberspace Mimic Defense System (CMDS), and we analyze the influence of different attacking strength and recovering ability. Besides, we establish the response time model for CMDS service, the results of prototype system show that the proposed method is practicable and effective, and the analysis of parameters gives the situation of degradation of executor performance, ability of recovering and coordinated attack which has useful guidance to the mimic systems engineering practice.