A Novel Approach for Security Situational Awareness in the Internet of Things

Internet of Œings (IoT) is characterized by various of heterogeneous devices and facing numerous threats. Modeling security of IoT is still a certain challenge. Œis paper de€nes a Stochastic Colored Petri Net (SCPN) for IoT-based smart environment and then proposes a Markov Game model for security situational awareness (SSA) in the de€ned SCPN. All possible aŠack paths are computed by the SCPN, and antagonistic behavior of both aŠackers and defenders are taken into consideration dynamically according to Game Œeory. Two aŠack scenarios in smart home environment are taken into consideration to demonstrate the e‚ectiveness of the proposed model. Œe proposed model can form a macroscopic trend curve of security situation. Analysis of the results shows the capabilities of the proposed model in €nding vulnerable devices and potential aŠack paths, and even mitigating the impact of aŠacks. To our knowledge, this is the €rst aŠempt to establish a dynamic SSA model for a complex IoT-based smart environment.