SPM: A Novel Hierarchical Model for Evaluating the Effectiveness of Combined ACDs in a Blockchain-Based Cloud Environment

Cloud computing provides blockchain a flexible and cost-effective service by on-demand resource sharing, which also introduces additional security risks. Adaptive Cyber Defense (ACD) solution that continuously changes the attack surface according to cloud environments. The dynamic characteristics of ACDs give defenders tactical advantage against threats. However, when assessing effectiveness ACDs, structure traditional evaluation methods becomes unstable, especially combining multiple ACD techniques. Therefore, there is still lack standard quantitatively evaluate ACDs. In this paper, we conducted thorough with hierarchical model named SPM. proposed made up three layers integrating Stochastic Reward net (SRN), Poisson process, Martingale theory incorporated in Markov chain. SPM two main advantages: (1) it allows explicit quantification straightforward computation; (2) helps obtain metrics interest. Moreover, architecture each layer be used independently adopted method. simulation results show efficient evaluating various synergy effect their combination, thus improve system configuration accordingly.